标题/作者	年份
Artificial intelligence in cardiology KW Johnson, J Torres Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ... Journal of the American College of Cardiology 71 (23), 2668-2679	2018
The ‘Digital Twin’to enable the vision of precision cardiology J Corral-Acero, F Margara, M Marciniak, C Rodero, F Loncaric, Y Feng, ... European heart journal 41 (48), 4556-4564	2020
Lost in translation: the valley of death across preclinical and clinical divide–identification of problems and overcoming obstacles AA Seyhan Translational Medicine Communications 4 (1), 1-19	2019
State-of-the-art deep learning in cardiovascular image analysis G Litjens, F Ciompi, JM Wolterink, BD de Vos, T Leiner, J Teuwen, I Išgum JACC: Cardiovascular imaging 12 (8 Part 1), 1549-1565	2019
The continuous heart failure spectrum: moving beyond an ejection fraction classification F Triposkiadis, J Butler, FM Abboud, PW Armstrong, S Adamopoulos, ... European heart journal 40 (26), 2155-2163	2019
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening S Basith, B Manavalan, T Hwan Shin, G Lee Medicinal research reviews 40 (4), 1276-1314	2020
Machine learning‐based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy M Cikes, S Sanchez‐Martinez, B Claggett, N Duchateau, G Piella, ... European journal of heart failure 21 (1), 74-85	2019
Physician confidence in artificial intelligence: an online mobile survey S Oh, JH Kim, SW Choi, HJ Lee, J Hong, SH Kwon Journal of medical Internet research 21 (3), e12422	2019
Deep learning and alternative learning strategies for retrospective real-world clinical data D Chen, S Liu, P Kingsbury, S Sohn, CB Storlie, EB Habermann, ... NPJ digital medicine 2 (1), 43	2019
The current state of artificial intelligence in ophthalmology R Kapoor, SP Walters, LA Al-Aswad Survey of ophthalmology 64 (2), 233-240	2019
Implementation of machine learning model to predict heart failure disease FS Alotaibi International Journal of Advanced Computer Science and Applications 10 (6)	2019
Machine learning and the future of cardiovascular care: JACC state-of-the-art review G Quer, R Arnaout, M Henne, R Arnaout Journal of the American College of Cardiology 77 (3), 300-313	2021
Big data analytics in health sector: Theoretical framework, techniques and prospects P Galetsi, K Katsaliaki, S Kumar International Journal of Information Management 50, 206-216	2020
Artificial intelligence and echocardiography M Alsharqi, WJ Woodward, JA Mumith, DC Markham, R Upton, P Leeson Echo Research & Practice 5 (4), R115-R125	2018
Predicting survival from large echocardiography and electronic health record datasets: optimization with machine learning MD Samad, A Ulloa, GJ Wehner, L Jing, D Hartzel, CW Good, BA Williams, ... JACC: Cardiovascular Imaging 12 (4), 681-689	2019
Deep learning in cardiology P Bizopoulos, D Koutsouris IEEE reviews in biomedical engineering 12, 168-193	2018
Artificial intelligence in reproductive medicine R Wang, W Pan, L Jin, Y Li, Y Geng, C Gao, G Chen, H Wang, D Ma, ... Reproduction 158 (4), R139-R154	2019
Deep learning and the electrocardiogram: review of the current state-of-the-art S Somani, AJ Russak, F Richter, S Zhao, A Vaid, F Chaudhry, ... EP Europace 23 (8), 1179-1191	2021
Artificial intelligence: practical primer for clinical research in cardiovascular disease N Kagiyama, S Shrestha, PD Farjo, PP Sengupta Journal of the American Heart Association 8 (17), e012788	2019
Data science, artificial intelligence, and machine learning: opportunities for laboratory medicine and the value of positive regulation D Gruson, T Helleputte, P Rousseau, D Gruson Clinical biochemistry 69, 1-7	2019

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