Large language models and synthetic health data: progress and prospects

Objectives Given substantial obstacles surrounding health data acquisition, high-quality synthetic health data are needed to meet a growing demand for the application of advanced analytics for clinical discovery, prediction, and operational excellence. We highlight how recent advances in large langu...

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Veröffentlicht in:	JAMIA open 2024-12, Vol.7 (4), p.ooae114
Hauptverfasser:	Smolyak, Daniel, Bjarnadóttir, Margrét V, Crowley, Kenyon, Agarwal, Ritu
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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