AI-Driven Real-Time Monitoring of Cardiovascular Conditions With Wearable Devices: Scoping Review.
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| Title: | AI-Driven Real-Time Monitoring of Cardiovascular Conditions With Wearable Devices: Scoping Review. |
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| Authors: | Abedi A; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada., Verma A; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada., Jain D; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada., Kaetheeswaran J; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.; Krembil Brain Institute, University Health Network, Toronto, ON, Canada., Chui C; Library & Information Services, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada., Lankarany M; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.; Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.; Krembil Brain Institute, University Health Network, Toronto, ON, Canada., Khan SS; College of Engineering and Technology, American University of the Middle East, Egaila, Kuwait. |
| Source: | JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2025 Nov 11; Vol. 13, pp. e73846. Date of Electronic Publication: 2025 Nov 11. |
| Publication Type: | Journal Article; Scoping Review |
| Journal Info: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2291-5222 |
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| DOI: | 10.2196/73846 |
