Efficacy of Artificial Intelligence‐Powered Software in Enhancing Diagnostic Accuracy in Medical Residents

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Authors: Noureddine Litaiem, Yosr Daoud, Faten Zeglaoui
Cited by: 0
References: 5

Abstract

No author has financial ties to VisualDx or provides any kind of paid or unpaid assistance to VisualDx. One of the authors, Dr. Noureddine Litaiem, holds a one-year license for VisualDX, which was provided to him in his capacity as a member of the Editorial Board of the International Journal of Dermatology. The VisualDx team was formally notified by two co-authors, Dr. Noureddine Litaiem and Dr. Yosr Daoud, on August 26, 2024, that their software would be utilized for this study. It is important to state that they had no involvement in the study's protocol development, its design, or the selection of the clinical scenarios used. The data that support the findings of this study are available from the corresponding author upon reasonable request.

Fields of Study & Subjects

Cutaneous Melanoma Detection and Management Artificial Intelligence in Healthcare and Education AI in cancer detection

Publication details

Journal / source
International Journal of Dermatology
Volume
65
Issue
6
Pages
1276–1278
Publication date
2 January 2026
Language
EN