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http://dx.doi.org/10.1016/j.jaad.2020.06.033 | DOI Listing |
J Dtsch Dermatol Ges
January 2025
Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Israel.
Background And Objectives: Integration of artificial intelligence in healthcare, particularly ChatGPT, is transforming medical diagnostics and may benefit teledermatology. This exploratory study compared image description and differential diagnosis generation by a ChatGPT-4 based chatbot with human teledermatologists.
Patients And Methods: This retrospective study compared 154 teledermatology consultations (December 2023-February 2024) with ChatGPT-4's performance in image descriptions and diagnoses.
Public Health Nurs
January 2025
Health Services Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Valencia, Spain.
Objective: To perform an economic evaluation to determine whether or not teledermatology (TD) units in primary care (PC) centers offer an alternative in terms of cost-utility and cost per quality-adjusted life years (QALYs) to conventional dermatology consultations (face-to-face dermatology [F-F/D]) at the hospital from the perspective of the Public Health System (PHS) and the patients.
Methods: This is a randomized, controlled, nonblinded, and multicenter study. During 6 months, data from 450 patients (TD: 225 vs.
Syst Rev
October 2024
Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
South Med J
October 2024
From the Department of Dermatology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts.
Telemed J E Health
October 2024
Subsecretaría de Redes Asistenciales, Digital Hospital, Chilean Ministry of Health, Santiago, Chile.
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