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Author

L. Maniscalco

4 papers indexed here

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Open access Sep 2026

Investigation of Acceptance and Behavioral Intention to Use AI Chatbots Among Medical Students at the Universities of Palermo and Catania: A Preliminary Study of the DIADEMA Project

Introduction Artificial Intelligence (AI), particularly generative AI, is increasingly transforming educational and information-seeking practices. Medical students are among the most frequent users of AI chatbots for learning and accessing medical information. However, due to their direct and dialogic mode of interact...

Chiara Di Mitri, L. Maniscalco, M. Enea et al. · 0 citations
Open access Sep 2026

Temporal Trends in Antimicrobial Resistance of Acinetobacter baumannii: A Mixed-Effects Analysis of Clinical Isolates Collected at Palermo University Hospital (2013–2025)

Introduction   Acinetobacter baumannii is recognized by the World Health Organization (WHO) as one of the ESKAPE priority pathogens because of its environmental persistence and ability to acquire antimicrobial resistance. Carbapenem-resistant A. baumannii (CRAb) has been included in the WHO Global Priority List of An...

Manuela Lodico, S. Distefano, L. Maniscalco et al. · 0 citations
Open access Sep 2026

Patient-Reported Outcome Measures to Inform HPV Vaccination Strategies in University Students

This study aims to assess university students’ knowledge, attitudes, and perceptions regarding HPV infection and HPV vaccination, as well as the factors influencing vaccine uptake and vaccination intention, to support the development of targeted educational and public health interventions aimed at improving HPV vaccina...

M. Barchitta, A. Maugeri, E. Di Liberto et al. · 0 citations
Review Open access Jul 2026

Transverse Dentoalveolar Changes with Clear Aligners in Mixed Dentition: A Systematic Review with Exploratory Meta-Analysis

The current evidence base reveals a reasonably consistent direction toward favorable transverse dentoalveolar changes with clear aligner therapy, however, the exact magnitude of the benefit remains uncertain due to methodological heterogeneity and the lack of robust long-term data.

O. Di Fede, M. Zappia, F. Canepa et al. · 0 citations

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