Towards autonomous medical artificial intelligence agents

MIMIC-IV dataset Dataset description We develop a benchmark of 574 patients derived from the MIMIC-IV database which is a publicly available, comprehensive repository of de-identified EHRs from approximately 300,000 patients who received care at Beth Israel Deaconess Medical Center in Boston, MA, USA, between 2008 and 2019, managed by the Massachusetts Institute of Technology (MIT). This database includes semi-structured clinical information related to hospital admissions ranging from free-text notes such as discharge summaries or radiology reports and tabular information, including ICD-coded patient diagnoses, laboratory and microbiology results, vital parameters, pre-admission and in-hospital medications, and procedural records, such as surgical interventions. In this study, we concentrated on eight target diagnoses out of which the first four—appendicitis, cholecystitis, diverticulitis and pancreatitis were focused on abdominal pathologies. Our data preparation was adapted from a prior publication 18 to ensure methodological consistency and enhance comparability across studies. We also refer readers to this study for more details on the data preparation pipeline. The remaining four target pathologies focused on internal medicine emergencies, including pneumonia, urinary tract infection and pulmonary embolism, as well as an oncology-related condition, pancreatic cancer. …