Should artificial intelligence have lower acceptable error rates than humans?

The first patient was misclassified in the diagnostic conclusion according to a local clinical expert opinion in a new clinical implementation of a knee osteoarthritis artificial intelligence (AI) algorithm at Bispebjerg-Frederiksberg University Hospital, Copenhagen, Denmark. In preparation for the evaluation of the AI algorithm, the implementation team collaborated with internal and external partners to plan workflows, and the algorithm was externally validated. After the misclassification, the team was left wondering: what is an acceptable error rate for a low-risk AI diagnostic algorithm? A survey among employees at the Department of Radiology showed significantly lower acceptable error rates for AI (6.

Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?

Purpose: This paper focuses on how the implementation of artificial intelligence algorithms (AI) challenges and changes the existing communication practice in radiology seen from a psychological communicative and clinical radiologist's perspective.

Method: Based on thematic literature search across radiology, management, and information system technology research of AI implementation and robotics, we applied social- and cognitive psychological concepts in order to analyse and interpret these potential communication challenges that the introduction of AI potentially imposes.

Results And Discussion: We found that scepticism towards AI implementation is a well-documented reaction among medical professionals in general.