Clinical Applications of Artificial Intelligence in Cardiology
Author:
Affiliation:
1. Department of Cardiology, International University of Health and Welfare
2. Cardio Intelligence Inc.
Publisher
Japan Society of Health Evaluation and Promotion
Link
https://www.jstage.jst.go.jp/article/jhep/51/2/51_229/_pdf
Reference18 articles.
1. 1) Williams GJ, Al-Baraikan A, Rademakers FE, et al: Wearable technology and the cardiovascular system: the future of patient assessment. Lancet Digit Health 2023; 5: e467-76.
2. 2) Mizuno A, Changolkar S, Patel MS: Wearable devices to monitor and reduce the risk of cardiovascular disease: evidence and opportunities. Annu Rev Med 2021; 72: 459-71.
3. 3) Huang J-D, Wang J, Ramsey E, Leavey G, Chico TJA, Condell J: Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review. Sensors (Basel) 2022; 22: 8002.
4. 4) Soenksen L, Ma Y, Zeng C, et al: Integrated multimodal artificial intelligence framework for healthcare applications. NPJ Digit Med 2022; 5: 149.
5. 5) Hannun AY, Rajpurkar P, Haghpanahi M, et al: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat Med 2019; 25(1): 65-9. doi: 10.1038/s41591-018-0268-3. Epub 2019 Jan 7.
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