Medicine

Key challenges for delivering clinical impact with artificial intelligence

DSA ADS Course - 2021

Machine Learning, Medicine, Artificial Intelligence

Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially transformative technologies from research to clinical practice.

Main body

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

DSA ADS Course - 2021

Machine Learning, Medicine, Medical Devices, FDA, Medical Device Evaluation

April, 2021

A comprehensive overview of medical AI devices approved by the US Food and Drug Administration sheds new
light on limitations of the evaluation process that can mask vulnerabilities of devices when they are deployed on
patients.

Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices

April, 2021

Key Points

Question  Can artificial intelligence help primary care physicians and nurse practitioners diagnose skin conditions more accurately?