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

Mobile Apps for Dermatology and Prevention (17) Artificial Intelligence (1188) Clinical Information and Decision Making (1315) Decision Support for Health Professionals (1129) Machine Learning (1373)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45529, first published .
Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study

Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study

Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study

Authors of this article:

Shiva Shankar Marri1 Author Orcid Image ;   Arun C Inamadar1 Author Orcid Image ;   Ajit B Janagond1 Author Orcid Image ;   Warood Albadri1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

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

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

Corresponding Author:

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