Health Care AI and Patient Privacy-Dinerstein v Google.

This Viewpoint summarizes a recent lawsuit alleging that a hospital violated patients' privacy by sharing electronic health record (EHR) data with Google for development of medical artificial intelligence (AI) and discusses how the federal court's decision in the case provides key insights for hospitals planning to share EHR data with for-profit companies developing medical AI.

How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?

In this Medical News article, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Alondra Nelson, PhD, the Harold F. Linder Professor at the Institute for Advanced Study, discuss effective AI regulation frameworks to accommodate innovation.

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

Health care is undergoing a profound transformation through the integration of artificial intelligence (AI). However, the rapid integration and expansive growth of AI within health care systems present ethical and legal challenges that warrant careful consideration. In this viewpoint, the author argues that the health care domain, due to its complexity, requires specialized approaches to regulating AI. Precise regulation can provide clear guidelines for addressing these challenges, thereby ensuring ethical and legal AI implementations.

A Blanket That Leaves the Feet Cold: Exploring the AI Act Safety Framework for Medical AI.

The AI Act is based on, and at the same time aims to protect fundamental rights, implying their protection, while fulfilling the safety requirement prescribed by the AI Act within the whole lifecycle of AI systems. Based on a risk classification, the AI Act provides a set of requirements that each risk class must meet in order for AI to be legitimately offered on the EU market and be considered safe. However, despite their classification, some minimal risk AI systems may still be prone to cause risks to fundamental rights and user safety, and therefore require attention. In this paper we explore the assumption that despite the fact that the AI Act can find broad ex litteris coverage, the significance of this applicability is limited.

AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance.

This Viewpoint examines the privacy concerns raised by medical uses of large language models, such as chatbots.

The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models.

This Viewpoint discusses how regulators across the world should approach the legal and ethical challenges, including privacy, device regulation, competition, intellectual property rights, cybersecurity, and liability, raised by the medical use of large language models.

Generative AI in Health Care and Liability Risks for Physicians and Safety Concerns for Patients.

This Viewpoint discusses the potential use of generative artificial intelligence (AI) in medical care and the liability risks for physicians using the technology, as well as offers suggestions for safeguards to protect patients.