biostudies-literatureUnknown32(2)O'Sullivan JWThe scarcity of subspecialist medical expertise poses a considerable challenge for healthcare delivery. This issue is particularly acute in cardiology, where timely, accurate management determines outcomes. We explored the potential of Articulate Medical Intelligence Explorer (AMIE), a large language model-based experimental medical artificial intelligence system, to augment clinical decision-making in this challenging context. We conducted a randomized controlled trial comparing large language model-assisted care with the usual care of complex patients suspected of having a genetic cardiomyopathy, and we curated a real-world dataset of complex cases from a subspecialist cardiology practice. Nine participating general cardiologists were provided with access to both clinical text reports anNature medicine616-623https://www.ebi.ac.uk/biostudies/studies/S-EPMC12920087biostudies-literatureA large language model for complex cardiology care.PMC12920087Parikh VMansfield PFazal MJain SSWu BAmponsah DKCheng YDesai YKarthikesalingam AChu EKim DSHussain TNatarajan VPalepu ASaab KTang WGottweis JAshley ESchaekermann MCheng ELi JTapaskar NKulkarni KElezaby ATanno RSandoval RWebster DBarral JTu TSpencer-Bonilla GLan RO'Sullivan JWWeng WHMahdavi SSfalseA large language model for complex cardiology care.The scarcity of subspecialist medical expertise poses a considerable challenge for healthcare delivery. This issue is particularly acute in cardiology, where timely, accurate management determines outcomes. We explored the potential of Articulate Medical Intelligence Explorer (AMIE), a large language model-based experimental medical artificial intelligence system, to augment clinical decision-making in this challenging context. We conducted a randomized controlled trial comparing large language model-assisted care with the usual care of complex patients suspected of having a genetic cardiomyopathy, and we curated a real-world dataset of complex cases from a subspecialist cardiology practice. Nine participating general cardiologists were provided with access to both clinical text reports an2026-01-01T00:00:00Z2026 Feb2026-07-16T12:31:01.159Z2026-07-09T10:55:44.082ZS-EPMC129200874165212310.1038/s41591-025-04190-9