Negative / Null Result ReportOpen accessMedicine· cited by 10

A large language model for complex cardiology care

Jack W. O’Sullivan; Anil Palepu; Khaled Saab; Wei‐Hung Weng; Daniel K. Amponsah; Evaline Cheng; Yong Cheng; Emily Chu · 2026 · Nature Medicine

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

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 cardiomyop

Abstract by Jack W. O’Sullivan; Anil Palepu; Khaled Saab; Wei‐Hung Weng; Daniel K. Amponsah; Evaline Cheng; Yong Cheng; Emily Chu, Nature Medicine (2026) — licensed CC BY 4.0.

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