Why might #AI-assisted #dermatology decisions improve by about 10%?

Across 4,905 unaided and AI-aided decisions, clinicians were more likely to revise when the AI disagreed than when it agreed — even when the AI was wrong!

http://lup.lub.lu.se/student-papers/record/9221420

#medicine #tech #edu #cogSci

Are clinicians vulnerable to #availabilityBias?

"Recent... encounters with a disease increased the likelihood of erroneously diagnosing it (b=0.2, p=0.018)" but "having 10 or more years of experience decreased [this] (b=–0.4, p=0.046)"

https://doi.org/10.1136/bmjqs-2025-019520

#medicine #cogSci

How else can automated text messages educate medical patients?

Adding automated text messages to a paper-based decision aid program improved lung #cancer screening knowledge and screening rates.

https://doi.org/10.2196/69044

#medicine #edu #decisionScience #healthScreening #oncology

This is yet another paper that finds quickly-diminishing returns of reflective thinking.

And this paper's result may be more severe: Figure 3 (above) shows accuracy on medical question-answering improved on second thought, but either plateaued or DECLINED *after* second thought.

Can Socratic reflection improve #AI answers to medical questions?

Adding a critic to a #languageModel pipeline improved performance on two measures of medical question-answering.

The improvement didn't depend on the critic's model.

https://doi.org/10.48550/arXiv.2601.04531

#tech #medicine #edu

How are #AI emergency #medicine decisions affected by prompting?

#LLMs' rate of "Yes" answers to questions about #safety, #autonomy, treatment, resources, and follow-up varied by #ethics persona (utilitarian, etc.) and #reasoning style (intuitive, etc.).

https://doi.org/10.64898/2026.01.01.26343302