Signal detection of adverse events in medical devices using natural language processing: a case study in pelvic mesh

Abstract Disproportionality analysis is used to detect safety signals for post-market surveillance from adverse events reported to regulatory bodies but is challenging when reports contain unstructured free-text. We implemented a proof-of-concept system combining natural language processing of free-...

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Detalhes bibliográficos

Principais autores:	Thu-Lan Kelly, Ty Stanford, Curtis Murray, Lewis Mitchell, Indu Bala, Nicole Pratt, Tobin South, Renly Lim, Marianne Gillam
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
coleção:	Scientific Reports
Assuntos:	Medical device Natural language processing Signal detection Disproportionality analysis Pelvic mesh Post-market surveillance
Acesso em linha:	https://doi.org/10.1038/s41598-026-50950-z
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