Artificial Intelligence in Clinical Diagnosis-Reference-Cited by-同舟云学术

Artificial Intelligence in Clinical Diagnosis

Published:2023-07-25 Issue:4 Volume:330 Page:317
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Kulkarni Prathit A.¹²,Singh Hardeep³⁴

Affiliation:

1. Medical Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

2. Infectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, Texas

3. Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, Texas

4. Health Services Research Section, Department of Medicine, Baylor College of Medicine, Houston, Texas

Abstract

This Viewpoint examines various aspects of using generative artificial intelligence (AI) in health care, including assisting with making clinical diagnoses, and the challenges that come with using AI, such as ensuring the accuracy of the clinical data on which AI makes its diagnoses.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jama/articlepdf/2807166/jama_kulkarni_2023_vp_230083_1689353550.454.pdf

Reference9 articles.

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2. Diagnostic accuracy of differential-diagnosis lists generated by generative pretrained transformer 3 chatbot for clinical vignettes with common chief complaints: a pilot study.;Hirosawa;Int J Environ Res Public Health,2023

3. Types and origins of diagnostic errors in primary care settings.;Singh;JAMA Intern Med,2013

4. Diagnostic error in medicine: analysis of 583 physician-reported errors.;Schiff;Arch Intern Med,2009

5. artificial intelligence and machine learning in clinical medicine, 2023.;Haug;N Engl J Med,2023

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