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Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Dreizin D, Khatri G, Staziaki PV, Buch K, Underbath M, Mohammed M, Sodickson A, Khurana B, Agrawal A, Spann JS, Beckmann N, DelProposto Z, LeBedis CA, Davis M, Dickerson G, Lev M. Dreizin D, et al. Among authors: lev m. Emerg Radiol. 2024 Dec 23. doi: 10.1007/s10140-024-02306-1. Online ahead of print. Emerg Radiol. 2024. PMID: 39714735
Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs.
Yoon BC, Pomerantz SR, Mercaldo ND, Goyal S, L'Italien EM, Lev MH, Buch KA, Buchbinder BR, Chen JW, Conklin J, Gupta R, Hunter GJ, Kamalian SC, Kelly HR, Rapalino O, Rincon SP, Romero JM, He J, Schaefer PW, Do S, González RG. Yoon BC, et al. Among authors: lev mh. PLoS One. 2023 Mar 13;18(3):e0281900. doi: 10.1371/journal.pone.0281900. eCollection 2023. PLoS One. 2023. PMID: 36913348 Free PMC article.
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach.
Chung J, Kim D, Choi J, Yune S, Song KD, Kim S, Chua M, Succi MD, Conklin J, Longo MGF, Ackman JB, Petranovic M, Lev MH, Do S. Chung J, et al. Among authors: lev mh. Sci Rep. 2022 Dec 7;12(1):21164. doi: 10.1038/s41598-022-24721-5. Sci Rep. 2022. PMID: 36476724 Free PMC article.
777 results