Fondazione Poliambulanza Istituto Ospedaliero

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

Matteo Chieregato, Fabio Frangiamore, Mauro Morassi et al.

2022 · 100 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.

2022 · 47 Zit.

The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives

Luca Andriollo, Aurelio Picchi, Rudy Sangaletti et al.

2024 · 32 Zit.

Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey

Nikdokht Rashidian, Mohammad Abu Hilal, Isabella Frigerio et al.

2024 · 6 Zit.

3D Printing in Bone Surgery

Carmine Zoccali, Francesco Benazzo, Pietro Ruggieri

2022 · 6 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.

Can Artificial Intelligence Help Orthopaedic Surgeons in the Conservative Management of Knee Osteoarthritis? A Consensus Analysis

Christian Carulli, Stefano Marco Paolo Rossi, Luca Magistrelli et al.

2025 · 1 Zit.

Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project

Belinda De Simone, Lucienne Kasongo, Andrew A Gumbs et al.

2026 · 0 Zit.

Medical Training for Machines and Software

Mohammad Abu Hilal, Giada Aveni, Vittorio Alessandro Cherchi

2024 · 0 Zit.

DELIVERABLE: D4.1 IMPLEMENTATION STRATEGIES

S. Bull, Susan M. Anderson, Sylvia Breukers et al.

2017 · 0 Zit.

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

Simone Schiaffino, Marina Codari, Andrea Cozzi et al.

2022 · 0 Zit.

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

Simone Schiaffino, Marina Codari, Andrea Cozzi et al.

2022 · 0 Zit.

Uncovering connections between radiomics features and clinical data with higher order Shapley values

M. Chieregato, R. Maio, B. Ghedi et al.

2026 · 0 Zit.