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Author

M. Pompili

2 papers indexed here

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Open access Sep 2026

From real-world experience to precision prescribing of antidepressants: a machine-learning analysis of clinicians' treatment choices.

Antidepressant prescribing in major depressive disorder is guided by evidence-based recommendations, but real-world decisions often rely on clinical judgment, previous experience, and case-based reasoning. This study examined whether psychiatrists' routine prescribing decisions could be used to identify practice-ground...

Francesco Calabrò, Claudio Caiazza, U. Albert et al. · 0 citations
Open access Sep 2026

Predicting early psychiatric readmission among people with major depressive disorder: A machine learning analysis from the prospective multicentre DEEP READ study.

These findings suggest that standard clinical variables may hold predictive value for early readmission in MDD, however, external validation, assessment of model calibration, and clinical utility are needed prior to clinical implementation.

F. Bartoli, Mario Luciano, C. Crocamo et al. · 0 citations

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