Medical artificial intelligence is as much social as it is technological

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Annamaria Carusi, Peter D. Winter, Iain Armstrong, Fabio Ciravegna, David G. Kiely, Allan Lawrie, Haiping Lu, Ian Sabroe, Andy Swift

Published: 2023, Last Modified: 01 Jun 2026Nat. Mac. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
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.