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

Digital Health Reviews (1315) Artificial Intelligence (1407) Quality Improvement (258) Human Factors and Usability Case Studies (805) Decision Support for Health Professionals (1201) Machine Learning (1488) Development and Evaluation of Research Methods, Instruments and Tools (501)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51514, first published .
Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review

Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review

Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review

Authors of this article:

Line Farah1, 2 Author Orcid Image ;   Isabelle Borget2, 3, 4 Author Orcid Image ;   Nicolas Martelli2, 5 Author Orcid Image ;   Alexandre Vallee6 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Eskandar K. Artificial intelligence in psychiatric diagnosis: challenges and opportunities in the era of machine learning. Debates em Psiquiatria 2024;14:1 View
  2. Mao L, Yu Z, Lin L, Sharma M, Song H, Zhao H, Xu X. Determinants of Visual Impairment Among Chinese Middle-Aged and Older Adults: Risk Prediction Model Using Machine Learning Algorithms. JMIR Aging 2024;7:e59810 View
  3. Boyer L, Fernandes S, Brousse Y, Llorca P, Samalin L, Rahmati M, Auquier P, Boussat B, Fond G. From PREMIUM to MyPsy&I®: Transforming mental health care with a digital platform for adaptive PREMs and PROMs. Journal of Epidemiology and Population Health 2024;72(6):202785 View

Books/Policy Documents

  1. Reis da Silva T. Physical Health, Mental Health, and Human Well-Being in the Age of AI. View