Ethical implications of artificial intelligence in residency applicant screening - 19/01/26
Doi : 10.1016/j.jaad.2025.05.1416
Ayushya Ajmani, BA a, Timothy Klufas, BA b, c, Albert E. Zhou, MD, PhD c, Brett Sloan, MD c, Jane M. Grant-Kels, MD c, d, ⁎ 
a Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
b New York Medical College School of Medicine, Valhalla, New York
c Department of Dermatology, University of Connecticut, Farmington, Connecticut
d Department of Dermatology, University of Florida, Gainesville, Florida
∗ Correspondence to: Jane M. Grant-Kels, MD, Department of Dermatology, University of CT Health Center, UCONN Dermatology, 21 South Rd, Farmington, Connecticut 06032 UCONN Dermatology 21 South Rd Farmington Connecticut 06032
Key words : AI, algorithmic screenings, artificial intelligence, bias, ethics, holistic applicant review, residency applications, selection criteria, standardization
Abbreviation used : AI
Le texte complet de cet article est disponible en PDF.
| Funding sources: None. |
|
| Patient consent: Not applicable. |
|
| IRB approval status: Not applicable. |
© 2025
American Academy of Dermatology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 94 - N° 2
P. e79-e80 - février 2026 Retour au numéro
Article précédent
- There’s a price to pay: Ethical considerations in expedited appointment fees
- Aarushi K. Parikh, Shari R. Lipner
- When metrics become medicine: The ethical tightrope of pay-for-performance in dermatology
- Michael J. Diaz, Jasmine T. Tran, Jane M. Grant-Kels
Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Déjà abonné à cette revue ?