machine learning

Yogendran LV, Avery C, Crooms RC, Ozair A, Siegel C, Guterman I, Rhee JY, Binder J, Minor M, Alder L, Davis J, Sharma A. Artificial[...]

Khabaz K, Newman-Hung NJ, Ding R, Pham D, Jackson NJ, Hsu W, Bernthal NM, Wessel LE. Machine Learning-Based Recurrence and Survival Prediction in a Large[...]

Paris CF, Ledyard R, Just AC, South EC, Tiako MJN, Canelón SP, Burris HH, Romano JD. The relative importance of neighborhood environment features in explaining[...]

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[...]