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Towards a Framework for Trust in Clinical AI: Expanding the Unit of Analysis
0
Zitationen
7
Autoren
2022
Jahr
Abstract
From diagnosis to patient scheduling, AI is being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a wider perspective beyond the user’s interactions with the AI. We offer several points in the clinical AI development, usage, and monitoring process that can have a significant impact on the clinician’s trust. Future work will look at how these points affect trust and how to calibrate trust at these different points.
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