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 · 51 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 · 48 Zit.

Artificial intelligence in the medical physics community: An international survey

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

2021 · 42 Zit.

Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study

Leo Massari, Francesco Benazzo, Francesco Falez et al.

2018 · 26 Zit.

Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project

Hanna Kwiendacz, Bi Huang, Yang Chen et al.

2025 · 17 Zit.

Bioethical implications of robotic surgery in urology: a systematic review

Francesco ESPERTO, Francesco PRATA, Alessandro ANTONELLI et al.

2021 · 15 Zit.

Focus issue: Artificial intelligence in medical physics

Federica Zanca, Michele Avanzo, Niall Colgan et al.

2021 · 8 Zit.

Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study

Giulia Besutti, Olivera Djurić, Marta Ottone et al.

2022 · 4 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

Ismail Sooltan, A Khan, Rizwanul Haque

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.

Intuitive Control of a Social Robot Using Natural Language with a Large Language Model and Error Correction Capabilities

Federico Biagi, Paolo Gasparini, Maria Grazia Modena et al.

2025 · 0 Zit.

OC-0299: Inconsistencies in clinicians‘ final treatment plan evaluations – a need for automation support

Ben Heijmen, P. Bonomo, Gregor Goldner et al.

2018 · 0 Zit.