Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Date of Graduation
12-12-2025
Semester of Graduation
Fall
Course Instructor
Laura Tice
Abstract
Objective: Assess the use of artificial intelligence in improving the accuracy of detecting malignant skin lesions when used in addition to the provider’s judgment. Design: Literature review. Methods: Searches were done in PubMed utilizing the terms “artificial intelligence” and “skin lesions”. The following limits were used: clinical trials and English. Results: Three studies met the inclusion/exclusion criteria: Han et al, Papachristou et al, and Menzies et al. Conclusion: AI-assistance tools can aid primary care provider’s diagnostic accuracy in detecting malignant skin lesions, which would effectively decrease morbidity, mortality, and unnecessary referrals to specialists.
Recommended Citation
Schluederberg K, Lucas C. The Use of Artificial Intelligence in the Detection of Malignant Skin Lesions. Capstone project, Department of Physician Assistant Studies, James Madison University; October 2024.
