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Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype.
Russak AJ, Chaudhry F, De Freitas JK, Baron G, Chaudhry FF, Bienstock S, Paranjpe I, Vaid A, Ali M, Zhao S, Somani S, Richter F, Bawa T, Levy PD, Miotto R, Nadkarni GN, Johnson KW, Glicksberg BS. Russak AJ, et al. Among authors: ali m. J Cardiovasc Pharmacol Ther. 2020 Sep;25(5):379-390. doi: 10.1177/1074248420928651. Epub 2020 Jun 4. J Cardiovasc Pharmacol Ther. 2020. PMID: 32495652 Review.
Artificial Intelligence in Cardiology.
Johnson KW, Torres Soto J, Glicksberg BS, Shameer K, Miotto R, Ali M, Ashley E, Dudley JT. Johnson KW, et al. Among authors: ali m. J Am Coll Cardiol. 2018 Jun 12;71(23):2668-2679. doi: 10.1016/j.jacc.2018.03.521. J Am Coll Cardiol. 2018. PMID: 29880128 Free article. Review.
Fetal fraction-based risk algorithm for non-invasive prenatal testing: screening for trisomies 13 and 18 and triploidy in women with low cell-free fetal DNA.
McKanna T, Ryan A, Krinshpun S, Kareht S, Marchand K, Grabarits C, Ali M, McElheny A, Gardiner K, LeChien K, Hsu M, Saltzman D, Stosic M, Martin K, Benn P. McKanna T, et al. Among authors: ali m. Ultrasound Obstet Gynecol. 2019 Jan;53(1):73-79. doi: 10.1002/uog.19176. Epub 2018 Nov 26. Ultrasound Obstet Gynecol. 2019. PMID: 30014528 Free PMC article.
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