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

Mindy Duffourc, Sara Gerke

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Generative artificial intelligence (AI) is a quickly emerging subfield of AI that can be trained with large data sets to create realistic images, videos, text, sound, 3-dimensional models, virtual environments, and even drug compounds. It has gained more attention recently as chatbots such as OpenAI’s ChatGPT or Google’s Bard display impressive performance in understanding and generating natural language text. Generative AI is being heralded in the medical field for its potential to ease the long-lamented burden of medical documentation by generating visit notes, treatment codes, and medical summaries. Physicians and patients might also turn to generative AI to answer medical questions about symptoms, treatment recommendations, or potential diagnoses.1 While these tools may improve patient care, the liability implications of using AI to generate health information are still in flux. To date, no court in the United States has considered the question of liability for medical injuries caused by relying on AI-generated information.
Original languageEnglish
JournalJAMA-Journal of the American Medical Association
Publication statusPublished - 6 Jul 2023
Externally publishedYes

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