Levels of autonomy in medical AI: implications for risk, regulation, and clinical practice
£35.00
An insightful analysis of autonomous medical AI, exploring regulatory challenges, risk management, and how emerging AI technologies may reshape clinical practice and healthcare delivery
English
Autonomous artificial intelligence (AI) systems in healthcare promise improved outcomes but raise concerns about liability, regulation, and costs. The emergence of large language models (LLMs), which can understand and generate medical text, images and videos, creates opportunities for more sophisticated autonomous AI medical device systems. However, this increases the urgency to address concerns over the gaps between their technical capabilities and the quality controls required to ensure their safety. This article by Abhineet Johri and Arisha Johri explores the overall implications for clinicians, hospitals, and providers of AI technology, as well as discussing the evolving regulatory landscape, led by the global regulatory agencies, which seeks to ensure transparency, evaluation, and real-world monitoring of AI systems. The widespread adoption of autonomous AI systems can potentially streamline workflows and allow doctors to concentrate on the human aspects of healthcare.
Specification: 9 pages plus covers, in English, supplied by email as a PDF.
This article has been published in the February 2026 issue of the Journal of Medical Device Regulation.
