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Cited by in F6Publishing
For: Musbahi O, Syed L, Le Feuvre P, Cobb J, Jones G. Public patient views of artificial intelligence in healthcare: A nominal group technique study. Digit Health 2021;7:20552076211063682. [PMID: 34950499 DOI: 10.1177/20552076211063682] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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1 Jeyakumar T, Younus S, Zhang M, Clare M, Charow R, Karsan I, Dhalla A, Al-mouaswas D, Scandiffio J, Aling J, Salhia M, Lalani N, Overholt S, Wiljer D. Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings. JMIR AI 2023;2:e40973. [DOI: 10.2196/40973] [Reference Citation Analysis]
2 Andrews JA, Rawsthorne M, Manolescu C, Burton mcfaul M, French B, Rye E, Mcnaughton R, Baliousis M, Smith S, Biswas S, Baker E, Repper D, Long Y, Jilani T, Clos J, Higton F, Moghaddam N, Malins S. Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project. Journal of Responsible Technology 2022;11:100044. [DOI: 10.1016/j.jrt.2022.100044] [Reference Citation Analysis]
3 Fernandez-quilez A. Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability. AI Ethics 2022. [DOI: 10.1007/s43681-022-00161-9] [Reference Citation Analysis]