{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["32(2)"],"submitter":["O'Sullivan JW"],"pubmed_abstract":["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 an"],"journal":["Nature medicine"],"pagination":["616-623"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12920087"],"repository":["biostudies-literature"],"pubmed_title":["A large language model for complex cardiology care."],"pmcid":["PMC12920087"],"pubmed_authors":["Parikh V","Mansfield P","Fazal M","Jain SS","Wu B","Amponsah DK","Cheng Y","Desai Y","Karthikesalingam A","Chu E","Kim DS","Hussain T","Natarajan V","Palepu A","Saab K","Tang W","Gottweis J","Ashley E","Schaekermann M","Cheng E","Li J","Tapaskar N","Kulkarni K","Elezaby A","Tanno R","Sandoval R","Webster D","Barral J","Tu T","Spencer-Bonilla G","Lan R","O'Sullivan JW","Weng WH","Mahdavi SS"],"additional_accession":[]},"is_claimable":false,"name":"A large language model for complex cardiology care.","description":"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 an","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T12:31:01.159Z","creation":"2026-07-09T10:55:44.082Z"},"accession":"S-EPMC12920087","cross_references":{"pubmed":["41652123"],"doi":["10.1038/s41591-025-04190-9"]}}