Author

Giulia Pollice

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Open access Aug 2026

Predictors of social and occupational functioning in help-seeking youths accessing an early intervention in psychosis programme: A real-world cohort study using machine learning algorithms.

INTRODUCTION Social and occupational impairment is common in early psychosis, yet predictors of functional outcome in real-world early intervention in psychosis (EIP) remain not fully understood. Machine-learning algorithms (MLAs) may help identify cases at risk of poor functioning and inform tailored interventions....

M. Marchi, Antonio Travascio, Giulia Pollice et al. · Schizophrenia Research · 0 citations

Open access Sep 2026

Algorithmic minds, human bias: How AI-generated images shape mental health stigma.

It is suggested that AI-generated representations may differentially shape stigma across disorders, highlighting the need to consider algorithmic environments in stigma research and in the development of digital communication and anti-stigma interventions.

L. Pingani, Nicole Lanzi, Erika De Marco et al. · Psychiatry Research · 0 citations