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

Viewpoints and Perspectives (514) Artificial Intelligence (1371) Ethics, Privacy, and Legal Issues (479) Policy (56)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49989, first published .
Navigating the AI Revolution: The Case for Precise Regulation in Health Care

Navigating the AI Revolution: The Case for Precise Regulation in Health Care

Navigating the AI Revolution: The Case for Precise Regulation in Health Care

Authors of this article:

Sandeep Reddy1 Author Orcid Image
Article Authors Cited by (11) Tweetations (17) Metrics

Journals

  1. Yelne S, Chaudhary M, Dod K, Sayyad A, Sharma R. Harnessing the Power of AI: A Comprehensive Review of Its Impact and Challenges in Nursing Science and Healthcare. Cureus 2023 View
  2. Das S, Dasgupta R, Roy S, Shil D. AI in Indian healthcare: From roadmap to reality. Intelligent Pharmacy 2024;2(3):329 View
  3. Reddy S. Generative AI in healthcare: an implementation science informed translational path on application, integration and governance. Implementation Science 2024;19(1) View
  4. Maccaro A, Stokes K, Statham L, He L, Williams A, Pecchia L, Piaggio D. Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices. Journal of Personalized Medicine 2024;14(5):443 View
  5. Khanna R, Martinez A, Raison N, Ourselin S, Briganti A, Montorsi F, Dasgupta P. Artificial Intelligence Applications in Prostate Cancer Management: Success Stories and Future Ahead. UroCancer Clinics of India 2024;2(1):50 View
  6. Hashemi Fotemi S, Mannuru N, Kumar Bevara R, Mannuru A. A Systematic Review of the Integration of Information Science, Artificial Intelligence, and Medical Engineering in Healthcare: Current Trends and Future Directions. InfoScience Trends 2024;1(2):29 View
  7. Mourya A, Jobanputra B, Pai R. AI-powered clinical trials and the imperative for regulatory transparency and accountability. Health and Technology 2024;14(6):1071 View
  8. Dao T, Nguyen T, Huynh V, Bui X, Le T, Tran M. Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics. Machine Learning 2024 View

Books/Policy Documents

  1. Mondal H, Mondal S. Artificial Intelligence in Microbiology: Scope and Challenges Volume 1. View
  2. Praveen A, Bartelo N, Soni V. Antimicrobial Resistance: Factors to Findings. View
  3. Kuriakose S, Monga Y. Application of Artificial Intelligence in Wastewater Treatment. View