Real-world validation of a multimodal LLM-powered pipeline for high-accuracy clinical trial patient matching.

Anatole Callies¹, Quentin Bodinier², Philippe Ravaud^2,3,4, Kourosh Davarpanah²

¹Inato, Paris, France. anatole.callies@inato.com.

²Inato, Paris, France.

³Center for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INSERM, INRAE, F-75004, Paris, France.

⁴Centre d'epidémiologie clinique, AP-HP, Hôpital Hôtel Dieu, F-75004, Paris, France.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Patient recruitment in clinical trials is hindered by complex eligibility criteria and labor-intensive chart reviews. Prior research using text-only models has struggled to address this problem in a reliable and scalable way due to (1) limited reasoning capabilities, (2) information loss from converting visual records to text, and (3) lack of a generic EHR integration to extract patien…

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