machine learning
Wang L, Shi Y, Deng Z, Wang Y, Rigo De Righi D, Javed S, Qureshi TA, Yang JD, Xie Y, Pandol SJ, Li D. Beyond[...]
Edjimbi J, Shah N, Donisi L, Gajjar A, See C, Grimshaw AA, Diop HB, Ribeiro ALP, Marijon E, Clifford G, Gaye B. Artificial intelligence-enabled electrocardiography[...]
McDonald VJF, Parsa S, Mastrodicasa D, Rodriguez F, Langlotz C, Maron DJ, Sandhu AT, Dudum R, Jain SS. Prognostication and clinical opportunities with AI for[...]
Reinier K, Chugh H, Kadiyala V, Sargsyan A, Uy-Evanado A, Nakamura K, Heckard E, Mathias M, Grogan T, Elashoff D, Salvucci A, Jui J, Chugh[...]
Møller Jensen C, Zargari Marandi R, Moestrup KS, Mourad A, Mena Lora AJ, Sherman BT, Vock DM, Nordwall JA, Carson JM, Peiffer-Smadja N, Aggarwal NR,[...]
Te TT, Bui AAT, Speier W, Fung CH. Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics. J Am Geriatr[...]
Petousis P, Gordon D, Duru OK, Norris KC, Tuttle KR, Nicholas SB, Bui AAT. Dynamic Bayesian networks to predict loss of kidney function: a cross-institution[...]
White JP, Song J, Cho PD, Zappacosta H, McKay S, Abramov A, Daniel M, Seto T, West S, Telesca D, Husain M, Saha A, Ardehali[...]
Lee Y, Feng J, Rahrooh A, Bui AAT, Cooper CB, Hsu JJ. Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing.[...]
Farrand E, Chung A, Joshua J, Dong H, Mills H, Lee A, Ieong M, Radhakrishnan L, Gologorskaya O, Butte A. Development and validation of a[...]