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Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs
2
Zitationen
6
Autoren
2025
Jahr
Abstract
Clinicians' trust in AI algorithms are affected by explainability methods and factors, including AI's performance, personal judgments and clinical experience. The development of clinical AI systems should consider the above and these responses ideally be factored into real-world assessments. Use of this study's findings could help improve the real world validity of medical AI systems by enhancing the human-computer interactions, with preferred explainability techniques tailored to specific situations.
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