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Augmenting Medical Judgment in Signal Confirmation: Design Considerations for an AI-Enabled Causality Assessment Framework.

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Title: Augmenting Medical Judgment in Signal Confirmation: Design Considerations for an AI-Enabled Causality Assessment Framework.
Authors: Hammad TA; Patient Safety and Pharmacovigilance (PSPV), Takeda Development Center Americas, Inc., Cambridge, USA. Tarek.hammad@takeda.com., Rochon J; R&D Data and Quantitative Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA., Afsar S; Worldwide Patient Safety, Bristol Myers Squibb, Princeton, USA., Lee SH; Patient Safety and Pharmacovigilance (PSPV), Takeda Development Center Americas, Inc., Cambridge, USA., Ely DM; Patient Safety and Pharmacovigilance (PSPV), Takeda Development Center Americas, Inc., Cambridge, USA., Hassanpour N; R&D Technology Services, Takeda Development Center Americas, Inc., Cambridge, USA., Bate A; Safety Innovation and Analytics, GSK, Philadelphia, USA.
Source: Drug safety [Drug Saf] 2026 Jul 15. Date of Electronic Publication: 2026 Jul 15.
Publication Type: Journal Article; Review
Journal Info: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 9002928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-1942 (Electronic) Linking ISSN: 01145916 NLM ISO Abbreviation: Drug Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1007/s40264-026-01700-7
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              Text: 2026 Jul 15
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