ARCHIVES

1. Friedrich S, Groß S, König IR, Engelhardt S, Bahls M, Heinz J, et al.. Applications of artificial intelligence/machine learning
approaches in cardiovascular medicine: a systematic review with recommendations. Eur Heart J Digit Health 2021;2:424–436.
2. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 2019;25:44–56.
3. van Smeden M, Reitsma JB, Riley RD, Collins GS, Moons KG. Clinical prediction models: diagnosis versus prognosis. J Clin
Epidemiol 2021;132:142–145
4. Hannun AY, Rajpurkar P, Haghpanahi M, Tison GH, Bourn C, Turakhia MP, et al.. Cardiologist-level arrhythmia detection and
classification in ambulatory electrocardiograms using a deep neural network. Nat Med 2019;25:65–69.
5. Cohen-Shelly M, Attia ZI, Friedman PA, Ito S, Essayagh BA, Ko WY, et al.. Electrocardiogram screening for aortic valve stenosis
using artificial intelligence. Eur Heart J 2021;42:2885–2896.
6. Tokodi M, Schwertner WR, Kovács A, Tősér Z, Staub L, Sárkány A, et al.. Machine learning-based mortality prediction of patients
undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score. Eur Heart J 2020;41:1747–1756.