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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'model_response'}) and 5 missing columns ({'medgemma_response', 'minicpm_o_response', 'qwenvl_response', 'ovis_response', 'aggregator_response'}).

This happened while the json dataset builder was generating data using

hf://datasets/nsivaku/data/dart_medgemma_lupus.json (at revision c0b7775198c51f26bcbf920b222e1845e231252f), ['hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_rheum.json'], ['hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_rheum.json']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              patient_id: string
              model_response: string
              to
              {'patient_id': Value('string'), 'qwenvl_response': Value('string'), 'ovis_response': Value('string'), 'minicpm_o_response': Value('string'), 'medgemma_response': Value('string'), 'aggregator_response': List(Value('string'))}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'model_response'}) and 5 missing columns ({'medgemma_response', 'minicpm_o_response', 'qwenvl_response', 'ovis_response', 'aggregator_response'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/nsivaku/data/dart_medgemma_lupus.json (at revision c0b7775198c51f26bcbf920b222e1845e231252f), ['hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_rheum.json'], ['hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/aggregator_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_medgemma_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_minicpm_o_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_ovis2_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_pre_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_lupus_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/dart_qwenvl_rheum_temp.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/scan_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/select_struct_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/series_selection_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/similarity_rheum.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_lupus.json', 'hf://datasets/nsivaku/data@c0b7775198c51f26bcbf920b222e1845e231252f/study_selection_rheum.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

patient_id
string
qwenvl_response
string
ovis_response
string
minicpm_o_response
string
medgemma_response
string
aggregator_response
list
04944461329A529BE4F93B8B9FE9D3F9
Error in model response
To determine if the patient has lupus, we need to consider the clinical presentation, laboratory findings, and imaging results. Lupus is a systemic autoimmune disease that can affect multiple organs and systems, including the joints, skin, kidneys, and blood. Based on the provided medical history, the patient has expe...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body. 1. **Radiology Notes**: - The presence or absence in imaging studies (radiographs) should be considered. ...
Error in model response
[ " The provided information includes radiology notes and medical history. The radiology notes cover ultrasound examinations of the pelvis (pregnancy check), kidneys (ruling out renal vein thrombosis), left lower extremity veins (ruling out DVT), and abdomen (evaluating RUQ pain). The medical history mentions pulmona...
072F061C8CA35E621B39373CD6815C1C
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the medical history, radiology notes, and medical scans provided. Lupus is a systemic autoimmune disease that can affect various organs and systems in the body, including the skin, joints, kidneys, and blood. Key features of lupus include a bu...
paclitaxel 6 MG/ML Injectable Solution 2021-12-07 00:00:00 No matching concept 2021-12-08 00:00:00 --- Note that the above notes are not in chronological order. --- The patient has a history of breast cancer and is currently undergoing treatment with paclitaxel. Based on this information, what can be inferred about...
Error in model response
[ " The provided information focuses heavily on the patient's breast cancer diagnosis, treatment, and follow-up imaging. There is no mention of symptoms, lab results, or clinical findings typically associated with lupus, such as joint pain, skin rashes (especially malar rash), photosensitivity, kidney problems, or sp...
0BC8559C4069E58432C539093D665418
Error in model response
To determine if the patient has lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is an autoimmune disease that can affect various organs and systems in the body, often presenting with a combination of symptoms and laboratory findings. 1. Medical History: The patien...
To determine whether the patient has lupus, we need to analyze both radiology notes and medical history. Here's a step-by-step approach: 1. **Medical History Analysis**: - The presence of antiphospholipid syndrome is an important clue in favoring diagnosis. - Other conditions like essential hypertension (high bl...
Error in model response
[ " The provided information includes a medical history detailing conditions like hypertension, asthma, GERD, antiphospholipid syndrome, and other unspecified abnormal immunological findings. Antiphospholipid syndrome is an autoimmune disorder often associated with lupus. The presence of other abnormal immunological ...
0D9C962A490B950C872DBA255F42EF9C
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the provided medical scans, radiology notes, and medical history. Lupus is a systemic autoimmune disease that can affect multiple organs and systems, including the joints, skin, kidneys, and blood. Key features of lupus include joint pain, ski...
To determine the likelihood of lupus in this patient, we need to consider several factors from their medical history and radiology notes. Here is a step-by-step analysis: 1. **Medical History**: - The person has been diagnosed with primary osteoarthritis (OA) affecting both hips. - They have also experienced sym...
Error in model response
[ "\nThe provided medical information includes radiology notes detailing joint issues, primarily osteoarthritis in the hips and knees, and some findings suggestive of inflammatory arthritis in the hands, wrists, elbows, and knees. The patient also has a history of osteoarthritis and has received treatment with cortic...
116B3476BC9F51933177AF6450B5857A
Error in model response
To determine if the patient has lupus, we need to consider the symptoms, medical history, and radiology notes provided. Lupus is a chronic autoimmune disease that can affect various organs and systems in the body, including the skin, joints, kidneys, and blood. Common symptoms include joint pain, fatigue, and a charact...
To determine whether the patient has lupus, we need to consider several factors from her medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body including skin (rashes), joints or muscles. 1) **Medical History**: - The presence fibromyalgia suggests she ...
Error in model response
[ "\nThe provided information includes radiology notes showing clear lungs and an unremarkable cardiomediastinal silhouette, which doesn't point towards common lupus manifestations like pleuritis or pericarditis. The medical history mentions fibromyalgia and GERD, which are not specific to lupus, although autoimmune ...
1A799D9C3C62952F847A7D57F421B9E7
Error in model response
To determine if the patient has lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is an autoimmune disease that can affect multiple organs and systems in the body, including the skin, joints, kidneys, and heart. The patient's medical history includes chronic systolic...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect multiple organ systems. 1. **Medical History**: - The primary condition mentioned in this case summary appears as "Chronic systolic (c...
Error in model response
[ " The provided medical history includes chronic systolic heart failure and type 2 diabetes mellitus. While lupus can sometimes be associated with cardiovascular issues, these conditions are not specific indicators of lupus. There is no mention of typical lupus symptoms like rashes, joint pain, photosensitivity, or ...
24902CF88CB18F232C5389710A0B6AC3
Error in model response
To determine if the patient has lupus, we need to consider the clinical presentation, laboratory findings, and medical history. Lupus is a systemic autoimmune disease characterized by inflammation and damage to various organs and tissues. Key features include: 1. **Clinical Presentation:** - Raynaud's syndrome with...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is an autoimmune disease that can present with a variety of symptoms including skin rashes (especially on sun-exposed areas), joint pain or arthritis-like conditions in multiple joints o...
Error in model response
[ "\nBased on the provided information, the patient presents with several findings suggestive of lupus. The medical history includes Raynaud's syndrome, immune thrombocytopenic purpura, nonscarring hair loss, and unspecified abnormal immunological findings in serum. The radiology notes show periarticular osteopenia i...
2CBE04CF2C5D750D3FB74C2321BE89F2
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the clinical presentation, laboratory findings, and imaging results. The patient's medical history includes symptoms and diagnoses that are consistent with lupus, such as polyarthritis, Raynaud's syndrome, and systemic involvement of connectiv...
To determine whether the patient has lupus, we need to consider various factors from her medical history and radiology notes. Lupus is an autoimmune disease that can affect multiple organs including skin (rashes), joints ("polyarthritis"), kidneys (“lupus nephritis”), blood cells/platelets/red blood cell count abnormal...
Error in model response
[ " The patient's history includes polyarthritis, hypothyroidism, and treatment with methotrexate and hydroxychloroquine, which are often used for lupus or related autoimmune conditions. The radiology notes from 2018 mention juxta-articular osteopenia, which can be seen in inflammatory conditions like lupus, although...
2ED3A8E59F36DFAD944D6E6D7E96E73A
Error in model response
To determine if the patient has lupus, we need to consider the symptoms, medical history, and radiology notes provided. Lupus is a chronic autoimmune disease that can affect various organs and systems in the body, including the skin, joints, kidneys, and blood. Common symptoms include joint pain, fatigue, fever, and a ...
To determine whether the patient has lupus, we need to analyze both radiology notes and medical history. Lupus is an autoimmune disease that can present with various symptoms such as joint pain or inflammation (rheumatoid arthritis), skin rashes on sun-exposed areas of body ("butterfly rash"), fever without cause; it m...
Error in model response
[ " Based on the provided medical history and radiology notes, there is no definitive evidence to diagnose the patient with lupus. The patient's history includes depression and anxiety, which are mental health conditions and not directly indicative of lupus. The radiology notes are missing. Lupus is a complex autoimm...
31E7C1A2DA7F5342787CE8C15D74F5D5
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the symptoms, medical history, and radiology findings. Lupus is a systemic autoimmune disease that can affect various organs and systems in the body, including the skin, joints, kidneys, and blood vessels. Common symptoms include joint pain, f...
To determine whether the patient has lupus, we need to analyze various aspects of their medical history and radiology notes. Here is a step-by-step analysis: 1. **Radiology Notes**: - The CT chest scan shows new acute subsegmental pulmonary embolism in one lung. - There are no signs indicating systemic vasculiti...
Error in model response
[ " The provided information includes radiology notes showing a pulmonary embolism and findings related to degenerative spinal changes, as well as a medical history listing various conditions like COPD, chronic fatigue, diverticulitis, osteoporosis, prediabetes, and low back pain. While some conditions like chronic f...
32419CFE249E5EB0B0E756F20AECE92A
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is an autoimmune disease that can cause a variety of symptoms, including joint pain, skin rashes, fatigue, and organ involvement. The patient's medical history include...
To determine whether the patient has lupus, we need to consider several factors from her medical history and radiology notes. Lupus is an autoimmune disease that can present with a wide range of symptoms affecting various organs. 1. **Systemic Symptoms:** - Hypothyroidism (2018-06) * Thyroid dysfunction may be...
Error in model response
[ "\nThe patient presents with a complex medical history including several autoimmune conditions (Sjogren syndrome, primary biliary cirrhosis, Crohn's disease), abnormal immunological findings in serum, iron deficiency anemia, hypothyroidism, and joint pain. While these findings are suggestive of systemic autoimmune ...
401FEEB2F4E0919A5A2406B486660CEE
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is a systemic autoimmune disease that can affect various organs and systems in the body, often presenting with a combination of symptoms and laboratory findings. The ...
To determine whether the patient has lupus, we need to analyze various aspects of their medical history and clinical findings. Here is a step-by-step analysis: 1. **Medical History**: - The presence multiple conditions such as monoclonal gammopathy (MGUS), acute posthemorrhagic anemia due possibly from kidney stone...
Error in model response
[ "\nBased on the provided medical history and radiology notes, there are several findings that raise suspicion for Lupus, including abnormal immunological findings, Raynaud's syndrome, ascites, pericardial effusion (inferred from cardiac silhouette enlargement in one note, though later notes are clear), pleural effu...
40C47809648F5A987F1A3D490214BA10
Error in model response
To determine if the patient has lupus, we need to consider the clinical presentation, laboratory findings, and imaging results. Lupus is a systemic autoimmune disease that can affect various organs and systems, including the skin, joints, kidneys, and blood. The diagnosis of lupus typically requires a combination of cl...
To determine whether the patient has lupus, we need to analyze her medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body. 1) **Medical History**: - The presence multiple episodes with fever (2020-11-10), vomiting on 3 separate occasions in November/Dec...
Error in model response
[ "\nFinal Answer: No\n" ]
42E918F89AE613FC7D13CE86C51392D5
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the symptoms, medical history, and laboratory findings. Lupus is a chronic autoimmune disease that can affect various organs and systems in the body, including the joints, skin, kidneys, and blood. Based on the provided medical history, the p...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body. 1. **Medical History**: - The presence multiple instances (20 occurrences) in 4 days suggests severe joint...
Error in model response
[ "\nBased on the provided information, it is difficult to definitively diagnose lupus. The patient has a history of joint pain, unspecified joint pain, and arthropathies, along with abnormal immunological findings. She also has Sjogren syndrome, which is associated with lupus. However, the radiology notes do not sho...
4A333F4C1EEC9C89030A167A18323A81
Error in model response
To determine if the patient has lupus, we need to consider the symptoms, medical history, and radiology notes provided. Lupus is a chronic autoimmune disease that can affect various organs and systems in the body, often presenting with a combination of symptoms and laboratory findings. 1. **Symptoms:** - Anemia, un...
To determine whether the patient has lupus, we need to analyze both radiology notes and medical history. Lupus is an autoimmune disease that can present with various symptoms such as skin rashes (a butterfly-shaped rash on cheeks), joint pain or swelling in multiple joints over time. 1) **Radiology Notes:** There are ...
Error in model response
[ " Based on the provided information, the patient exhibits several potential signs associated with lupus, including anemia, nonscarring hair loss, and neutropenia. While these findings are not definitive on their own, they raise suspicion for an underlying autoimmune condition like lupus, which commonly affects the ...
4EBDF0BD67F71A21B8B140A7DC321B0B
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is a complex autoimmune disease that can present with a variety of symptoms and signs, and its diagnosis often requires a combination of clinical evaluation, laborator...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can present with various symptoms such as skin rashes (particularly on sun-exposed areas), joint pain or swelling in multiple joints over time ("mild...
Error in model response
[ " The patient's medical history includes rheumatoid arthritis, which is an autoimmune disease, but it is distinct from lupus. The radiology notes mention pulmonary fibrosis and osteoporosis, which can be associated with lupus but are not specific to it. The patient is also on etanercept, a TNF inhibitor typically u...
5875E6D29CBA27E4C78B21292823C832
Error in model response
To determine if the patient has lupus, we need to consider the symptoms and medical history provided. Lupus is an autoimmune disease that can cause a variety of symptoms, including joint pain, skin rashes, hair loss, and other systemic issues. The patient's medical history includes several symptoms that are consistent ...
To determine whether the patient has lupus, we need to analyze various aspects of their medical history and symptoms. Here is a step-by-step analysis: 1. **Medical History**: - The presence multiple joint pains (e.g., left knee pain on 2024-05-04) can be indicative. - Synovitis or tenosynovitis without specified...
Error in model response
[ " The patient presents with several symptoms and findings suggestive of Lupus, including joint pain (multiple locations), nonscarring hair loss, photosensitivity (acute skin changes due to UV radiation), Raynaud's syndrome, and abnormal immunological findings. Additionally, the patient is currently being treated wi...
5AFA21512B58CD96590E280248857B02
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the medical history, radiology notes, and any relevant medical scans. Lupus is a systemic autoimmune disease that can affect various organs and systems in the body, often presenting with a combination of symptoms and findings. 1. **Medical Hi...
To determine whether the patient has lupus, we need to consider several factors from her medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body. 1. **Systemic Symptoms:** - Myalgia (muscle pain) without specified site. - Hypo-osmolality with hyponatr...
Error in model response
[ "\nBased on the provided information, there is not enough evidence to definitively diagnose lupus. While some findings, like abnormal renal imaging and myalgia, can be associated with lupus, they are non-specific and can occur in many other conditions. The patient's history includes conditions like diverticulitis, ...
66E366096194EBF9FF2CA805F1DD6081
Error in model response
To determine if the patient has lupus, we need to consider the medical history, radiology notes, and any other relevant information. Lupus is a chronic autoimmune disease that can affect various organs and systems in the body, including the skin, joints, kidneys, and blood. The diagnosis of lupus typically involves a c...
To determine whether the patient has lupus, we need to consider several factors from her medical history and radiology notes. Lupus is an autoimmune disease that can present with various symptoms such as chronic fatigue syndrome (CFS), arthritis or joint pain without inflammation in small joints of hands/feet; fever fo...
Error in model response
[ "\nBased on the provided information, the patient has a history of Sjogren syndrome with inflammatory arthritis, which is an autoimmune condition sometimes associated with lupus. However, the radiology notes show normal chest X-rays and negative screening mammograms, which are not specific findings for lupus. The p...
70FD355BD89690FE82FA0B29E6873207
Error in model response
To determine the likelihood of the patient having lupus, we need to consider the provided medical scans, radiology notes, and medical history. 1. **Medical History:** - The patient has a history of systemic sclerosis (scleroderma) and Sjogren's syndrome, which are associated with lupus. - The patient also has a ...
To determine the likelihood of lupus in this patient, we need to consider several factors from their medical history and radiology notes. Lupus is an autoimmune disease that can affect multiple organs including joints (lupus arthritis), skin ("butterfly rash"), kidneys (“malignant hypertension”), lungs ('interstitial l...
Error in model response
[ "\nThe provided information indicates the patient has a history of Scleroderma and Sjogren's syndrome, both autoimmune conditions often associated with Lupus. The radiology notes describe joint subluxations and deformities in the hands, which can occur in Lupus arthritis, although they are also seen in other condit...
731D9882B0C2F550BF971B0FA3E41E27
Error in model response
To determine if the patient has lupus, we need to consider the clinical presentation, laboratory findings, and imaging results. Lupus is a systemic autoimmune disease characterized by inflammation and damage to various organs and tissues. Key features include joint pain, skin rashes, and abnormal immunological findings...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can affect various parts of your body. 1. **Joint Pain**: The presence multiple instances with pain in different joints (knee on 2021-12-23; ankle/j...
Error in model response
[ " Based on the provided information, there are several indicators that could suggest lupus, but also some factors that make a definitive diagnosis difficult based solely on these notes. The patient has joint pain, abnormal immunological findings, and proteinuria, all of which can be associated with lupus. Additiona...
73E1DDF43BEBD9AB48D2861CA9F3393D
Error in model response
To determine if the patient has lupus, we need to consider the clinical presentation, laboratory findings, and imaging results. Lupus is a systemic autoimmune disease that can affect multiple organs and systems, including the skin, joints, kidneys, and blood. The patient's medical history and radiology notes provide so...
To determine whether the patient has lupus, we need to consider several factors from their medical history and radiology notes. Lupus is a chronic autoimmune disease that can present with various symptoms such as fever, fatigue (anemia), joint pain or inflammation ("soft tissue disorder"), skin rashes involving less th...
Error in model response
[ " The provided information is insufficient to definitively diagnose lupus. While the patient has some symptoms and conditions that can be associated with lupus (anemia, soft tissue disorder, systemic inflammatory response, fever, mitral valve insufficiency), these findings are non-specific and can occur in many oth...
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