Leveraging the full potential of wearable devices in cardiomyopathies
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Novel AI applications have the potential for identification of digital signatures using multimodal inputs to phenotype patients with cardiovascular disease.
“Novel AI applications have the potential for identification of digital signatures using multimodal inputs to phenotype patients with cardiovascular disease.8,9”
From Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence (2024) · cites this paper as [8]
The citation lists haven’t been fetched yet
References 5 · Cited by 6
- Authors
- Oikonomou, E. K., & Khera, R.
- Affiliations
- Yale University (US)
- Yale New Haven Hospital (US)
- Corresponding author
- Khera, Rohan
- Venue
- Journal of Cardiac Failure
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 30
- Issue
- 7
- Pages
- 964-966
- ISSN
- 1071-9164 (ISSN-L)
- OpenAlex
- W4392444837
- Cited by
- 6
- References
- 5
- Citations by year
- 2025: 1 · 2024: 5
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Cardiac Failure (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01HL167858, K23HL153775)
- National Heart, Lung, and Blood Institute
- Doris Duke Charitable Foundation (63/580,137, US17/720,068, WO2020058713A1, 63/428,569, 63/619,241, 63/508,315, 63/346,610, 63/484,426, WO2018078395A1, 63/177,117, 63/606,203, 1F32HL170592, 2022060)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- wearable devices, cardiomyopathy, smartwatches, wearable activity trackers, electrocardiogram, heart rate monitoring, oxygen saturation, sleep monitoring, exercise monitoring, heart failure, remote patient monitoring
- MeSH terms
- Wearable Electronic Devices, Humans, Cardiomyopathies
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
