Year: 2026
Type: article
Abstract: Medical artificial intelligence (AI) is advancing from information provision and clinical assistance towards decision support and expanding clinical authority.Its reach now extends into diagnosis, treatment planning, monitoring, and patient management.Governance concerns have accordingly broadened from model performance alone to decision authority, accountability, meaningful human oversight, patient autonomy and health equity.[1][2][3] Recent work on AI-driven clinical consultations and autonomous agents indicates that these questions have shifted from hypothetical scenarios to emerging clinical realities.4,5 One question threads through these discussions: what happens when something goes wrong?Who made the decision, who should have intervened, and who is accountable?These questions remain essential.5,6 Autonomous systems, however, raise a complementary problem.What should be done before something goes wrong? Figure 1 Medical AI governance should therefore move beyond allocating responsibility after harm toward anticipating patient risk and preventing avoidable harm before it occurs.
DOI: 10.1002/ctm2.70872
Author: Linghua Yu
Institution: First Hospital of Jiaxing
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,470
Funder: Zhejiang University
OpenAlex ID: W7221661149