Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Ayush Jain,David H. Way,17 Authors,Yuan Liu
TLDR
In this diagnostic study, artificial intelligence assistance was significantly associated with higher agreement with diagnoses made by a dermatologist panel, with an increase from 48% to 58% for primary care physicians and for nurse practitioners.
Abstract
Key Points Question Can artificial intelligence help primary care physicians and nurse practitioners diagnose skin conditions more accurately? Findings In this diagnostic study of 20 primary care physicians and 20 nurse practitioners reviewing 1048 retrospective cases, artificial intelligence assistance was significantly associated with higher agreement with diagnoses made by a dermatologist panel, with an increase from 48% to 58% for primary care physicians and an increase from 46% to 58% for nurse practitioners. These outcomes correspond to a benefit for 1 in every 8 to 10 cases. Meaning Artificial intelligence may help clinicians diagnose skin conditions more accurately in primary care practices, where most skin diseases are initially evaluated.