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Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study.

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Title: Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study.
Authors: Bae SW; Human-Computer Interaction and Human-Centered AI Systems Lab, AI for Healthcare Lab, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, Hoboken, NJ, United States., Chung T; Institute for Health, Healthcare Policy and Aging Research, Rutgers University, Newark, NJ, United States., Zhang T; Human-Computer Interaction and Human-Centered AI Systems Lab, AI for Healthcare Lab, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, Hoboken, NJ, United States., Dey AK; Information School, University of Washington, Seattle, WA, United States., Islam R; Human-Computer Interaction and Human-Centered AI Systems Lab, AI for Healthcare Lab, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, Hoboken, NJ, United States.
Source: JMIR AI [JMIR AI] 2025 Jan 02; Vol. 4, pp. e52270. Date of Electronic Publication: 2025 Jan 02.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918645789006676 Publication Model: Electronic Cited Medium: Internet ISSN: 2817-1705 (Electronic) Linking ISSN: 28171705 NLM ISO Abbreviation: JMIR AI Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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