Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools

Artificial intelligence (AI) offers the potential to support healthcare delivery, but poorly trained or validated algorithms bear risks of harm. Ethical guidelines stated transparency about model development and validation as a requirement for trustworthy AI. Abundant guidance exists to provide tran...

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Detalles Bibliográficos
Autores principales: Fehr, Jana, Jaramillo-Gutierrez, Giovanna, Oala, Luis, Gröschel, Matthias I., Bierwirth, Manuel, Balachandran, Pradeep, Werneck-Leite, Alixandro, Lippert, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601535/
https://www.ncbi.nlm.nih.gov/pubmed/36292369
http://dx.doi.org/10.3390/healthcare10101923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601535/
https://www.ncbi.nlm.nih.gov/pubmed/36292369
http://dx.doi.org/10.3390/healthcare10101923

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