Work

Compliance and factuality of large language models for clinical research document generation

Year: 2025

Type: article

Source: Journal of the American Medical Informatics Association

DOI: 10.1093/jamia/ocaf174

Authors: Zifeng Wang, Junyi Gao, Benjamin Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun

Institutions: University of Edinburgh, University of Illinois Urbana-Champaign, Seoul National University Bundang Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Science Foundation

Awards: BigData:IA:Collaborative Research: TIMES: A tensor factorization platform for spatio-temporal data, Collaborative Research: SCH: Fair Federated Representation Learning for Breast Cancer Risk Scoring, SCH:INT: Collaborative Research: Deep Sense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine

OpenAlex ID: W4415605138

FWCI: 1.421

Cites: 12

Cited by: 7

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