Despite the promise of medical artificial intelligence applications, their acceptance in real-world clinical settings is low, with lack of transparency and trust being barriers that need to be overcome. We discuss the importance of the collaborative process in medical artificial intelligence, whereby experts from various fields work together and tackle transparency issues and build trust over time.

Medical artificial intelligence is as much social as it is technological

Ciravegna, F;
2023-01-01

Abstract

Despite the promise of medical artificial intelligence applications, their acceptance in real-world clinical settings is low, with lack of transparency and trust being barriers that need to be overcome. We discuss the importance of the collaborative process in medical artificial intelligence, whereby experts from various fields work together and tackle transparency issues and build trust over time.
2023
5
2
98
100
https://www.nature.com/articles/s42256-022-00603-3
artificial intelligence, medicine
Carusi, A; Winter, PD; Armstrong, I; Ciravegna, F; Kiely, DG; Lawrie, A; Lu, HP; Sabroe, I; Swift, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1950759
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