Physicians distinguish less between correct and incorrect AI advice under time pressure

Time pressure in a within-subjects experiment with 155 physicians increased uptake of incorrect AI advice for sepsis probability, reducing selectivity and worsening final accuracy.

• Why it matters: Acute-care decisions are time constrained, but it is unclear whether clinicians use AI decision support differently when speed pressures them.
• What they did: Physicians estimated sepsis probability in clinical vignettes before and after AI advice under strict versus lenient time limits, and researchers compared advice uptake, selectivity, and accuracy.
• The result: Under strict limits, incorrect advice uptake rose (p < .001) and selectivity fell (p = .024); overall accuracy stayed similar (p = .39) while estimates became less accurate with incorrect AI advice (p < .001), even after adjusting for initial estimates.

AI summary of the abstract · may contain errors · not medical advice · read the paper.