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. |
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| 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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| ISSN: | 2817-1705 |
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| DOI: | 10.2196/52270 |
