Source record

Published by Human Factors (SAGE / HFES) (T1 source). The original is at https://journals.sagepub.com/doi/abs/10.1177/00187208261443764?af=R.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Peer-reviewed study examining how AI-provided explanations affect efficiency, diagnostic accuracy, user perceptions, and workflow integration in ophthalmologists' clinical diagnostic and treatment workflows, identifying challenges in human-AI collaboration.

Empirical findings on the efficiency costs of explainable AI in real clinical decision-making. Useful beyond medicine for anyone designing human-AI workflows where explanations add cognitive overhead.

Cited by

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