Work

Decoding Artificial Intelligence to Achieve Diagnostic Excellence: Learning From Experts, Examples, and Experience

Year: 2022

Type: article

Abstract: This Viewpoint describes 3 learning methods that form the basis of many systems of diagnostic artificial intelligence systems—learning from experts, examples, and experience—and their parallels to clinicians’ existing approaches to learning.

Source: JAMA

DOI: 10.1001/jama.2022.13735

Authors: Jonathan H. Chen, Gurpreet Dhaliwal, Daniel Yang

Institutions: Stanford Medicine, Stanford University, San Francisco VA Medical Center, University of California, San Francisco, Gordon and Betty Moore Foundation

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Institute on Aging, National Institute on Drug Abuse, U.S. National Library of Medicine

Awards: Machine Learning Clinical Order Recommendations for Specialty Consultation Care, Stanford Medicine Center for Longevity and Healthy Aging, Western States Node of the National Drug Abuse Treatment Clinical Trials Network