The digital future is now
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There is apprehension regarding the external validity and generalizability of the data, further complicating acceptance and integration of AI into clinical practice.
“Additionally, there is apprehension regarding the external validity and generalizability of the data, further complicating acceptance and integration of AI into clinical practice.61,62”
From Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence (2024) · cites this paper as [61]
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Cites
2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure
McDonagh, T. A., Metra, M., Adamo, M., Gardner, R. S., Baumbach, A., Böhm, M., Burri, H., Butler, J., Čelutkienė, J., Chioncel, O., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab368 · Cited by 13,344 · see citing works
Machine Learning and the Future of Cardiovascular Care
Quer, G., Arnaout, R., Henne, M., & Arnaout, R. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.030 · Cited by 346 · see citing works
Connecting the Circle from Home to Heart-Failure Disease Management
Desai, A. S., & Stevenson, L. W. (2010) · New England Journal of Medicine · doi:10.1056/nejme1011769 · Cited by 104 · see citing works
The role of wearables in heart failure
Singhal, A., & Cowie, M. R. (2020) · Current Heart Failure Reports · doi:10.1007/s11897-020-00467-x · Cited by 85 · see citing works
Sammour, Y. M., Spertus, J. A., Austin, B. A., Magalski, A., Gupta, S. K., Shatla, I. M., Dean, E., Kennedy, K. F., Jones, P. G., Nassif, M. E., et al. (2021) · JACC Heart Failure · doi:10.1016/j.jchf.2021.07.003 · Cited by 52 · see citing works
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Marvasti, T. B., Gao, Y., Murray, K. R., Hershman, S., McIntosh, C., & Moayedi, Y. (2024) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2024.07.009 · Cited by 35 · see citing works
- Authors
- Cowie, M. R., & O’Connor, C. M.
- Venue
- JACC Heart Failure
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 10
- Issue
- 1
- Pages
- 67-69
- ISSN
- 2213-1779 (ISSN-L)
- PMC
- PMC8711689
- OpenAlex
- W4200356105
- Cited by
- 8
- References
- 5
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2022: 3
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- JACC Heart Failure (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- digital health, heart failure
- MeSH terms
- Forecasting, Heart Failure, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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