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Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
Mahmood U, Shukla-Dave A, Chan HP, Drukker K, Samala RK, Chen Q, Vergara D, Greenspan H, Petrick N, Sahiner B, Huo Z, Summers RM, Cha KH, Tourassi G, Deserno TM, Grizzard KT, Näppi JJ, Yoshida H, Regge D, Mazurchuk R, Suzuki K, Morra L, Huisman H, Armato SG 3rd, Hadjiiski L. Mahmood U, et al. Among authors: cha kh. BJR Artif Intell. 2024 Mar 4;1(1):ubae003. doi: 10.1093/bjrai/ubae003. eCollection 2024 Jan. BJR Artif Intell. 2024. PMID: 38476957 Free PMC article. Review.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Hadjiiski L, Cha K, Chan HP, Drukker K, Morra L, Näppi JJ, Sahiner B, Yoshida H, Chen Q, Deserno TM, Greenspan H, Huisman H, Huo Z, Mazurchuk R, Petrick N, Regge D, Samala R, Summers RM, Suzuki K, Tourassi G, Vergara D, Armato SG 3rd. Hadjiiski L, et al. Med Phys. 2023 Feb;50(2):e1-e24. doi: 10.1002/mp.16188. Epub 2023 Jan 6. Med Phys. 2023. PMID: 36565447
Deep learning in medical imaging and radiation therapy.
Sahiner B, Pezeshk A, Hadjiiski LM, Wang X, Drukker K, Cha KH, Summers RM, Giger ML. Sahiner B, et al. Among authors: cha kh. Med Phys. 2019 Jan;46(1):e1-e36. doi: 10.1002/mp.13264. Epub 2018 Nov 20. Med Phys. 2019. PMID: 30367497 Free PMC article. Review.
128 results