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. |
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| 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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