Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Author:
Affiliation:
1. Google Health, Palo Alto, California
2. Google Health via Advanced Clinical, Deerfield, Illinois
3. Division of Hospital Medicine, University of California, San Francisco
Publisher
American Medical Association (AMA)
Subject
General Medicine
Link
https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2779250/jain_2021_oi_210236_1618848006.72661.pdf
Reference42 articles.
1. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.;GBD 2017 Disease and Injury Incidence and Prevalence Collaborators;Lancet,2018
2. Diagnosing and managing cutaneous pigmented lesions: primary care physicians versus dermatologists.;Chen;J Gen Intern Med,2006
3. Dermatological surgery: a comparison of activity and outcomes in primary and secondary care.;Goulding;Br J Dermatol,2009
4. Comparison of dermatologic diagnoses by primary care practitioners and dermatologists: a review of the literature.;Federman;Arch Fam Med,1999
5. Melanoma outcomes for Medicare patients: association of stage and survival with detection by a dermatologist vs a nondermatologist.;Pennie;Arch Dermatol,2007
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