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Ospedale San Luigi Gonzaga

5.126 Arbeiten377.162 Zitationen
Land: ITTyp: healthcare

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data

Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini et al.

2020 · 220 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.

Generative Pre-training Transformer Chat (ChatGPT) in the scientific community: the train has left the station

Enrico Checcucci, Paolo Verri, Daniele Amparore et al.

2023 · 28 Zit.

Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study

Mahendra Bhandari, Anubhav Reddy Nallabasannagari, Madhu Reddiboina et al.

2020 · 27 Zit.

Artificial Intelligence alert systems during robotic surgery: a new potential tool to improve the safety of the intervention

Enrico Checcucci, Sabrina De Cillis, Daniele Amparore et al.

2023 · 13 Zit.

Transitioning from “Dr. Google” to “Dr. ChatGPT”: the advent of artificial intelligence chatbots

Enrico Checcucci, Severin Rodler, Pietro Piazza et al.

2024 · 9 Zit.

Quality of information and appropriateness of ChatGPT outputs for neuro-urology

Paolo Geretto, Riccardo Lombardo, Simone Albisinni et al.

2024 · 8 Zit.

The Use of Artificial Intelligence in Urologic Oncology: Current Insights and Challenges

Rossella Cicchetti, Daniele Amparore, Flavia Tamborino et al.

2025 · 2 Zit.

Potential for AI as first reader in lung cancer screening

Roberta Eufrasia Ledda, Camilla Valsecchi, Federica Sabia et al.

2025 · 1 Zit.

The new European Clinical Trial Regulation: Perception and expectations in Italy

C. Cagnazzo, S. Campora, F. Arizio et al.

2016 · 0 Zit.

AI-based, secure and privacy-preserving synthetic data generation platform in transfusion-dependent β-thalassemia applied to the Webthal® dataset

Mattia Delleani, Barbara Gianesin, Saverio D’Amico et al.

2025 · 0 Zit.

Accuracy, readability, and understandability of EAU guidelines bot for testicular cancer

Giacomo Gallo, Riccardo Lombardo, V Pagliarulo et al.

2026 · 0 Zit.

4 - Development and validation of urodynamic expert: A Chat GPT app

Riccardo Lombardo, Lorenzo Vacca, Eleonora Rosato et al.

2025 · 0 Zit.