| Machine Learning and Artificial Intellegence in Healthcare – Reviews |
| – Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731. (https://www.nature.com/articles/s41551-018-0305-z) – A guide to deep learning in healthcare. Nat Med. 2019;25(1):24-29. (https://www.nature.com/articles/s41591-018-0316-z) – AI in health and medicine. Nat Med. 2022;28(1):31-38. (https://www.nature.com/articles/s41591-021-01614-0) |
| Machine Learning and Artificial Intellegence in Cardiology – Reviews |
| – Artificial Intelligence in Cardiology. J Am Coll Cardiol. 2018;71(23):2668-2679. (https://www.jacc.org/doi/abs/10.1016/j.jacc.2018.03.521) – Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology. Circ Arrhythm Electrophysiol. 2020;13(8):e007952. (https://www.ahajournals.org/doi/10.1161/CIRCEP.119.007952) – Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review. J Am Coll Cardiol. 2021;77(3):300-313. (https://www.jacc.org/doi/abs/10.1016/j.jacc.2020.11.030) |
| Digital Health Technology and Cardiovascular Care – Reviews |
| – Digital Health and the Care of the Patient With Arrhythmia: What Every Electrophysiologist Needs to Know. Circ Arrhythm Electrophysiol. 2020;13(11):e007953. (https://www.ahajournals.org/doi/10.1161/CIRCEP.120.007953) – Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management. Nat Rev Cardiol. 2021;18(2):75-91. (https://www.nature.com/articles/s41569-020-00445-9) – HRS White Paper on Clinical Utilization of Digital Health Technology. Cardiovasc Digit Health J. 2021;2(4):196-211. (https://www.cvdigitalhealthjournal.com/article/S2666-6936(21)00062-1/fulltext) |
Cardio Cypher 