The Current and Future State of AI Interpretation of Medical Images | NEJM Skip to main content
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Various forms of artificial intelligence (AI) applications are being deployed and used in many
healthcare systems. As the use of these applications increases, we are learning the failures …

We evaluated the performance of a large language model called ChatGPT on the United
States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK …

Medical artificial intelligence (AI) has tremendous potential to advance healthcare by
supporting and contributing to the evidence-based practice of medicine, personalizing …

Annotating medical images, particularly for organ segmentation, is laborious and time-
consuming. For example, annotating an abdominal organ requires an estimated rate of 30 …

Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and
has the potential to improve the identification and analysis of vulnerable or high-risk …

Introduction Artificial intelligence (AI) encompasses a wide range of algorithms with risks
when used to support decisions about diagnosis or treatment, so professional and …

1Department of Radiology and Research Institute of Radiology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea; 2Department of Radiology, Seoul St …

This scoping review of randomised controlled trials on artificial intelligence (AI) in clinical
practice reveals an expanding interest in AI across clinical specialties and locations. The …

Clinical adoption of an artificial intelligence–enabled imaging tool requires critical appraisal
of its life cycle from development to implementation by using a systematic, standardized, and …