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Page 1
Development and validation of a decision support tool for the diagnosis of acute heart failure: systematic review, meta-analysis, and modelling study.
Lee KK, Doudesis D, Anwar M, Astengo F, Chenevier-Gobeaux C, Claessens YE, Wussler D, Kozhuharov N, Strebel I, Sabti Z, deFilippi C, Seliger S, Moe G, Fernando C, Bayes-Genis A, van Kimmenade RRJ, Pinto Y, Gaggin HK, Wiemer JC, Möckel M, Rutten JHW, van den Meiracker AH, Gargani L, Pugliese NR, Pemberton C, Ibrahim I, Gegenhuber A, Mueller T, Neumaier M, Behnes M, Akin I, Bombelli M, Grassi G, Nazerian P, Albano G, Bahrmann P, Newby DE, Japp AG, Tsanas A, Shah ASV, Richards AM, McMurray JJV, Mueller C, Januzzi JL, Mills NL; CoDE-HF investigators. Lee KK, et al. Among authors: tsanas a. BMJ. 2022 Jun 13;377:e068424. doi: 10.1136/bmj-2021-068424. BMJ. 2022. PMID: 35697365 Free PMC article.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, Weber W, Wheatstone P, McCulloch P; DECIDE-AI expert group. Vasey B, et al. Nat Med. 2022 May;28(5):924-933. doi: 10.1038/s41591-022-01772-9. Epub 2022 May 18. Nat Med. 2022. PMID: 35585198 Review.
Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis D, Lee KK, Yang J, Wereski R, Shah ASV, Tsanas A, Anand A, Pickering JW, Than MP, Mills NL; High-STEACS Investigators. Doudesis D, et al. Among authors: tsanas a. Lancet Digit Health. 2022 May;4(5):e300-e308. doi: 10.1016/S2589-7500(22)00025-5. Lancet Digit Health. 2022. PMID: 35461689 Free PMC article. Clinical Trial.
72 results