Related Experiment Video
Updated: Jul 24, 2025
Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
Published on: August 18, 2022
Artificial Intelligence vs Medical Providers in the Dermoscopic Diagnosis of Melanoma
Jane M Anderson1, Izhaar Tejani1, Tory Jarmain1
1Ms. Anderson is from The University of Texas Health Science Center at San Antonio. Ms. Anderson also is from and Dr. Moy is from Moy, Fincher, Chipps Facial Plastics & Dermatology, Los Angeles, California. Mr. Tejani, Mr. Jarmain, and Dr. Kellett are from Triage Technologies Inc, Toronto, Ontario, Canada.
Abstract:
Early diagnosis of melanoma drastically reduces morbidity and mortality; however, most skin lesions are not initially evaluated by dermatologists, and some patients may require a referral. This study sought to determine the performance of an artificial intelligence (AI) application in classifying lesions as benign or malignant to determine whether AI could assist in screening potential melanoma cases. One hundred dermoscopic images (80 benign nevi and 20 biopsy-verified malignant melanomas) were assessed by an AI application as well as 23 dermatologists, 7 family physicians, and 12 primary care mid-level providers. The AI's high accuracy and positive predictive value (PPV) demonstrate that this AI application could be a reliable melanoma screening tool for providers.
