Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review.
Line FarahIsabelle BorgetNicolas MartelliAlexandre ValléePublished in: Journal of medical Internet research (2024)
The adaptation of the HTA process through a methodological framework for AI-based medical devices enhances the comparability of results across different evaluations and jurisdictions. By defining the necessary expertise, the framework supports the development of a skilled workforce capable of conducting robust and reliable HTAs of AI-based medical devices. A comprehensive adapted HTA framework for AI-based medical devices can provide valuable insights into the effectiveness, cost-effectiveness, and societal impact of AI-based medical devices, guiding their responsible implementation and maximizing their benefits for patients and health care systems.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- big data
- deep learning
- public health
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- randomized controlled trial
- primary care
- systematic review
- prognostic factors
- case report
- peritoneal dialysis
- patient reported outcomes
- risk assessment
- clinical evaluation