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

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

  • By

  • Akiva Kleinerman

  • David Benrimoh

  • Amit Yaniv-Rosenfeld

  • Grace Golden

  • Myriam Tanguay-Sela

  • Howard C. Margolese

  • Teddy Lazebnik

  • Ben H. Amit

  • Hadar Samuel

  • Ariel Rosenfeld

  • July 3, 2026

  • 0 min

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Clinical Scorecard: Integrating Algorithmic Insights with Clinical Judgment: A Pilot Investigation into AI-Assisted Antidepressant Selection by Physicians

At a Glance

CategoryDetail
ConditionMajor Depressive Disorder (MDD)
Key MechanismsAI-driven Clinical Decision Support Systems (AI-CDSS) for predicting treatment outcomes and managing side-effect risks.
Target PopulationPatients with Major Depressive Disorder requiring pharmacological management.
Care SettingPsychiatric and primary care settings.

Key Highlights

  • Dynamic Clinician-Determined Weighting significantly enhanced perceived clinical utility.
  • 33.3% of initial antidepressant choices were revised using AI-CDSS.
  • The study involved 22 physicians evaluating three weighting schemes.

Guideline-Based Recommendations

Diagnosis

  • Utilize AI models to predict individual treatment outcomes in MDD.

Management

  • Incorporate dynamic weighting in AI-CDSS to support antidepressant selection.

Monitoring & Follow-up

  • Assess the impact of treatment decisions on patient outcomes and side effects.

Risks

  • Consider potential adverse events such as weight gain, sexual dysfunction, and fatigue.

Patient & Prescribing Data

Individuals diagnosed with Major Depressive Disorder.

AI can predict remission probabilities but requires clinician input for subjective value assessment.

Clinical Best Practices

  • Balance efficacy and side-effect risks in antidepressant selection.
  • Preserve clinician agency while utilizing AI predictions.

Related Resources & Content

Original Source(s)

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

  • by Akiva Kleinerman, David Benrimoh, Amit Yaniv-Rosenfeld, Grace Golden, Myriam Tanguay-Sela, Howard C. Margolese, Teddy Lazebnik, Ben H. Amit, Hadar Samuel, Ariel Rosenfeld

  • July 3, 2026

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