Marche Polytechnic University

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

Francesca Coppola, Lorenzo Faggioni, Daniele Regge et al.

2020 · 168 Zit.

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

Rossana Berardi, Francesca Morgese, Silvia Rinaldi et al.

2020 · 145 Zit.

Radiomics in medical imaging: pitfalls and challenges in clinical management

Roberta Fusco, Vincenza Granata, Giulia Grazzini et al.

2022 · 87 Zit.

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

Saverio D’Amico, Daniele Dall’Olio, Claudia Sala et al.

2023 · 85 Zit.

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

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

2023 · 68 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.

A Machine Learning Approach for Postoperative Outcome Prediction: Surgical Data Science Application in a Thoracic Surgery Setting

Michele Salati, Lucia Migliorelli, Sara Moccia et al.

2021 · 22 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.

Reporting Guideline for Chatbot Health Advice Studies

The CHART Collaborative, Bright Huo, Gary S. Collins et al.

2025 · 17 Zit.

Insights into radiomics: a comprehensive review for beginners

Francesco Mariotti, Andrea Agostini, Alessandra Borgheresi et al.

2025 · 15 Zit.

Advancements in artificial intelligence for robotic-assisted radical prostatectomy in men suffering from prostate cancer: results from a scoping review

Daniele Castellani, Leonard Perpepaj, Demetra Fuligni et al.

2024 · 15 Zit.

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

Alessandro Casella, Sara Moccia, Chiara Carlini et al.

2021 · 13 Zit.

Surgical Intelligence Can Lead to Higher Adoption of Best Practices in Minimally Invasive Surgery

Gerald M. Fried, Monica Ortenzi, Danit Dayan et al.

2024 · 11 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 · 11 Zit.