Marche Polytechnic University

Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey

Francesca Coppola, Lorenzo Faggioni, Daniele Regge et al.

2020 · 166 Zit.

<p>Benefits and Limitations of a Multidisciplinary Approach in Cancer Patient Management</p>

Rossana Berardi, Francesca Morgese, Silvia Rinaldi et al.

2020 · 139 Zit.

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero et al.

2023 · 60 Zit.

Artificial intelligence: a challenge for third millennium radiologist

Roberto Grassi, Vittorio Miele, Andrea Giovagnoni

2019 · 40 Zit.

ChatGPT in urology practice: revolutionizing efficiency and patient care with generative artificial intelligence

Carlotta Nedbal, Nitesh Naik, Daniele Castellani et al.

2023 · 33 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.

Dr. GPT will see you now: the ability of large language model-linked chatbots to provide colorectal cancer screening recommendations

Bright Huo, Tyler McKechnie, Monica Ortenzi et al.

2024 · 20 Zit.

Coping with interoperability in the development of a federated research infrastructure: achievements, challenges and recommendations from the JA-InfAct

Juan González, Francisco Estupiñán‐Romero, Carlos Tellería et al.

2021 · 13 Zit.

NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos

Alessandro Casella, Sara Moccia, Chiara Carlini et al.

2021 · 12 Zit.

Insights into radiomics: a comprehensive review for beginners

Francesco Mariotti, Andrea Agostini, Alessandra Borgheresi et al.

2025 · 10 Zit.

Reporting Guideline for Chatbot Health Advice Studies

Bright Huo, Gary S. Collins, David Chartash et al.

2025 · 10 Zit.

Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII

Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak et al.

2025 · 9 Zit.

Artificial Intelligence. ECAI 2023 International Workshops

Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung et al.

2024 · 8 Zit.

Healthcare AI, explainability, and the human-machine relationship: a (not so) novel practical challenge

Claudia Giorgetti, Giuseppe Contissa, Giuseppe Basile

2025 · 8 Zit.

AI in scientific writing and publishing: A call for critical engagement

Sophia Frangou, Umberto Volpe, Andrea Fiorillo

2025 · 6 Zit.