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Cited by in F6Publishing
For: Gerhards H, Weber K, Bittner U, Fangerau H. Machine Learning Healthcare Applications (ML-HCAs) Are No Stand-Alone Systems but Part of an Ecosystem - A Broader Ethical and Health Technology Assessment Approach is Needed. Am J Bioeth 2020;20:46-8. [PMID: 33103972 DOI: 10.1080/15265161.2020.1820104] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Roski J, Maier EJ, Vigilante K, Kane EA, Matheny ME. Enhancing trust in AI through industry self-governance. J Am Med Inform Assoc 2021;28:1582-90. [PMID: 33895824 DOI: 10.1093/jamia/ocab065] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Bélisle-Pipon JC, Couture V, Roy MC, Ganache I, Goetghebeur M, Cohen IG. What Makes Artificial Intelligence Exceptional in Health Technology Assessment? Front Artif Intell 2021;4:736697. [PMID: 34796318 DOI: 10.3389/frai.2021.736697] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Char D, Abràmoff M, Feudtner C. A Framework to Evaluate Ethical Considerations with ML-HCA Applications-Valuable, Even Necessary, but Never Comprehensive. Am J Bioeth 2020;20:W6-W10. [PMID: 33103985 DOI: 10.1080/15265161.2020.1827695] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]