Azienda Ospedaliero-Universitaria di Modena

A machine learning tool for re-planning and adaptive RT: A multicenter cohort investigation

G. Guidi, N. Maffei, Bruno Meduri et al.

2016 · 52 Zit.

ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis

Elisabetta Maida, Marcello Moccia, Raffaele Palladino et al.

2024 · 49 Zit.

Expanding the medical physicist curricular and professional programme to include Artificial Intelligence

Federica Zanca, Irene Hernández‐Girón, Michele Avanzo et al.

2021 · 46 Zit.

Artificial intelligence in the medical physics community: An international survey

Oliver Díaz, G. Guidi, Oleksandra Ivashchenko et al.

2021 · 43 Zit.

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau et al.

2021 · 41 Zit.

Bioethical implications of robotic surgery in urology: a systematic review

Francesco ESPERTO, Francesco PRATA, Alessandro ANTONELLI et al.

2021 · 15 Zit.

Evaluation of ChatGPT as a Counselling Tool for Italian-Speaking MASLD Patients: Assessment of Accuracy, Completeness and Comprehensibility

Nicola Pugliese, Davide Polverini, Rosa Lombardi et al.

2024 · 13 Zit.

Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients

Michael Kuo, K.W. Chiu, David S. Wang et al.

2022 · 11 Zit.

Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods

Roberto Casale, Giulia Varriano, Antonella Santone et al.

2023 · 9 Zit.

Focus issue: Artificial intelligence in medical physics

Federica Zanca, Michele Avanzo, Niall Colgan et al.

2021 · 8 Zit.

Knowledge, Attitude and Practice of ARtificial Intelligence in Emergency and Trauma Surgery, the ARIES Project: An international web-based survey

Belinda De Simone, Fikri M. Abu‐Zidan, Andrew A. Gumbs et al.

2021 · 3 Zit.

The “<i>David Vs Goliath</i>” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology

Mattia Delleani, Saverio D’Amico, Elisabetta Sauta et al.

2024 · 1 Zit.

Artificial intelligence for the management of multimorbidity in AF patients: the ARISTOTELES project

G Boriani, D A Mei, G Y H Lip

2026 · 0 Zit.

Prompting for Healthcare Professionals: Enhancing Clinical Decision-Making with Artificial Intelligence

Antonio Alemanno, Michele Carmone, Leonardo Priore

2025 · 0 Zit.

Validation of Generative AI Techniques for Synthetic Data Generation in Multiple Sclerosis Research: A Comparison with Real-World Evidence from the Italian MS Registry

Pietro Iaffaldano, Saverio D’Amico, Giuseppe Lucisano et al.

2025 · 0 Zit.