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

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Title: Signal detection of adverse events in medical devices using natural language processing: a case study in pelvic mesh.
Authors: Kelly TL; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia. Lan.Kelly@adelaide.edu.au., Stanford T; School of Allied Health and Human Performance, Adelaide University, Adelaide, Australia., Murray C; School of Information and Computing Sciences, University of Melbourne, Melbourne, Australia., Mitchell L; School of Mathematical Sciences, Adelaide University, Adelaide, Australia., Bala I; School of Mathematical Sciences, Adelaide University, Adelaide, Australia., Pratt N; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia., South T; Massachusetts Institute of Technology, Boston, MA, USA., Lim R; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia.; Centre for Translational Research, Institute for Research, Development and Innovation, IMU University, Kuala Lumpur, Malaysia., Gillam M; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia.; School of Allied Health and Human Performance, Adelaide University, Adelaide, Australia.
Source: Scientific reports [Sci Rep] 2026 Apr 29; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Kelly+TL%22">Kelly TL</searchLink>; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia. Lan.Kelly@adelaide.edu.au.<br /><searchLink fieldCode="AU" term="%22Stanford+T%22">Stanford T</searchLink>; School of Allied Health and Human Performance, Adelaide University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Murray+C%22">Murray C</searchLink>; School of Information and Computing Sciences, University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Mitchell+L%22">Mitchell L</searchLink>; School of Mathematical Sciences, Adelaide University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Bala+I%22">Bala I</searchLink>; School of Mathematical Sciences, Adelaide University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Pratt+N%22">Pratt N</searchLink>; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22South+T%22">South T</searchLink>; Massachusetts Institute of Technology, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Lim+R%22">Lim R</searchLink>; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia.; Centre for Translational Research, Institute for Research, Development and Innovation, IMU University, Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Gillam+M%22">Gillam M</searchLink>; School of Pharmacy and Biomedical Science, Quality Use of Medicines and Pharmacy Research Centre, Adelaide University, Adelaide, Australia.; School of Allied Health and Human Performance, Adelaide University, Adelaide, Australia.
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        Value: 10.1038/s41598-026-50950-z
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              Text: 2026 Apr 29
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