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

Mobile Apps for Dermatology and Prevention (18) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Machine Learning (1501)

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

Journals

  1. Sengupta D. Artificial Intelligence in Diagnostic Dermatology: Challenges and the Way Forward. Indian Dermatology Online Journal 2023;14(6):782 View
  2. Novykov V, Bilson C, Gepp A, Harris G, Vanstone B. Deep learning applications in investment portfolio management: a systematic literature review. Journal of Accounting Literature 2023 View
  3. Marri S, Albadri W, Hyder M, Janagond A, Inamadar A. Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis. JMIR Dermatology 2024;7:e48811 View