This paper is in the following e-collection/theme issue:

Theme Issue (2023): AI and ChatGPT in Dermatology (8) Mobile Apps for Dermatology and Prevention (17) Decision Support for Health Professionals (1129) Artificial Intelligence (1188) mHealth for Screening (192) Machine Learning (1373) mHealth for Diagnosis (49) Computer-Aided Diagnosis (95) Teledermatology (58) Imaging Informatics (182)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48811, first published .
Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis

Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis

Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis

Authors of this article:

Shiva Shankar Marri1 Author Orcid Image ;   Warood Albadri1 Author Orcid Image ;   Mohammed Salman Hyder1 Author Orcid Image ;   Ajit B Janagond1 Author Orcid Image ;   Arun C Inamadar1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Shiva Shankar Marri   1 , MD ;   Warood Albadri   1 , MD ;   Mohammed Salman Hyder   1 , MBBS ;   Ajit B Janagond   1 , MD ;   Arun C Inamadar   1 , MD

1 Department of Dermatology, Venereology and Leprosy, Shri B M Patil Medical College, Hospital and Research Centre, BLDE (Deemed to be) University, Vijayapura, Karnataka, India

Corresponding Author:

  • Arun C Inamadar, MD
  • Department of Dermatology, Venereology and Leprosy
  • Shri B M Patil Medical College, Hospital and Research Centre
  • BLDE (Deemed to be) University
  • Bangaramma Sajjan Campus
  • Vijayapura, Karnataka, 586103
  • India
  • Phone: 91 9448102920
  • Email: aruninamadar@gmail.com