An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness.

ABSTRACT: This study introduces a machine learning (ML)-based platform aimed at predicting the effectiveness of Metacognitive Training (MCT). The platform is meant to function as an experimental prototype in the scope of a clinical research project for a decision support system to assist clinicians in tailoring treatment plans for patients with psychosis. It integrates eight ML models to evaluate MCT effectiveness under a wide range of mental health questionnaires to assess a broad spectrum of psychological symptoms. By incorporating diverse measures, the platform aims to capture a comprehensive understanding of patient profiles, enabling more precise and tailored predictions for treatment personalization. Furthermore, the transparency requirements for artificial intelligence (AI) systems, as outlin

SUBMITTER: Konig C 

PROVIDER: S-EPMC12358636 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature