Bridging algorithmic prediction and clinical agency: an exploratory pilot study of AI-augmented physician… | ScholarDeck

Paper

Bridging algorithmic prediction and clinical agency: an exploratory pilot study of AI-augmented physician antidepressant choice.

New research · AI in Medicine

Frontiers in psychiatry · 3w

StudyFrontiers in psychiatry· 2026

Bridging algorithmic prediction and clinical agency: an exploratory pilot study of AI-augmented physician antidepressant choice.

Akiva Kleinerman, David Benrimoh, Amit Yaniv-Rosenfeld … Ariel Rosenfeld

Read paper

Clinical Decision SupportStudyTreatmentQ1IF 3.5

Letting physicians set the weighting changed antidepressant choices in a third of cases

Bridging algorithmic prediction and clinical agency: an exploratory pilot study of AI-augmented physician antidepressant choice.

Akiva Kleinerman … Ariel Rosenfeld

Frontiers in psychiatry · 2026

Background

Effective psychiatric decision-making requires balancing data-driven predictions with clinical agency.

Methods

We investigated how the locus of control in the aggregation mechanism affects clinical utility and treatment decisions.

n = 22 physicians

33.3%

Results

33.3%

physician input changed the drug choice in about 1 in 3 patients

n = 22 physicians

More results

The Dynamic Clinician-Determined Weighting scheme significantly enhanced perceived clinical utility compared with the alternative approaches (p < 0.01).

“

Conclusion

By allowing clinicians to determine the relative importance of remission probabilities and side-effect risks, dynamic weighting may better reflect the nuanced and individualized nature of mental health care.

Read paper