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This paper is in the following e-collection/theme issue:

Bipolar Disorders (126) Digital Health Reviews (3546) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3111) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2317) Artificial Intelligence (4584)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93307, first published .
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Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability

Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability

Authors of this article:

Silvia De Francesco1 Author Orcid Image ;   Damiano Archetti1 Author Orcid Image ;   Cesare Michele Baronio1 Author Orcid Image ;   Claudio Demaria1 Author Orcid Image ;   Alberto Boccali1 Author Orcid Image ;   Claudio Crema1 Author Orcid Image ;   Giovanni Battista Tura2 Author Orcid Image ;   Alberto Redolfi1 Author Orcid Image
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Silvia De Francesco   1 * , MSc ;   Damiano Archetti   1 * , MSc ;   Cesare Michele Baronio   1 , PhD ;   Claudio Demaria   1 , MSc ;   Alberto Boccali   1 , MSc ;   Claudio Crema   1 , PhD ;   Giovanni Battista Tura   2 , MD ;   Alberto Redolfi   1 , PhD

1 Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy

2 Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy

*these authors contributed equally

Corresponding Author:

  • Silvia De Francesco, MSc
  • Laboratory of Neuroinformatics
  • IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli
  • via Pilastroni 4
  • Brescia 25125
  • Italy
  • Email: sdefrancesco@fatebenefratelli.eu