OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 22.03.2026, 14:12

Ospedale Papa Giovanni XXIII

8.083 Arbeiten629.573 Zitationen
Land: ITTyp: healthcare

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

The importance of being external. methodological insights for the external validation of machine learning models in medicine

Federico Cabitza, Andrea Campagner, Felipe Soares et al.

2021 · 235 Zit.

Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications

Tommaso D’Angelo, Danilo Caudo, Alfredo Blandino et al.

2022 · 52 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.

AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients

Anna Palmisano, Davide Vignale, Edda Boccia et al.

2022 · 18 Zit.

Chatbots in Radiology: Current Applications, Limitations and Future Directions of ChatGPT in Medical Imaging

Ludovica R. M. Lanzafame, Consolato Gullì, Silvio Mazziotti et al.

2025 · 5 Zit.

Digital transition in pathology lab: a survey from the Lombardy region

Elisa Belloni, Emanuela Bonoldi, G Bovo et al.

2024 · 2 Zit.

Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast Cancer

Elena Zazzetti, Saverio D’Amico, Flavia Jacobs et al.

2025 · 0 Zit.

Additional file 1 of Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols

Răzvan-Andrei Licu, Giuseppe Muscogiuri, Davide Casartelli et al.

2026 · 0 Zit.

Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols

Răzvan-Andrei Licu, Giuseppe Muscogiuri, Davide Casartelli et al.

2026 · 0 Zit.

Release of patients after nuclear medicine treatments: an AI-based approach for determining patient-specific effective half-life and for tailored release recommendations

E. Balduzzi, C. Bianchi, E. Pesenti et al.

2026 · 0 Zit.

Trattamento delle lesioni ossee traumatiche con le BMPs: revisione della letteratura

Jacopo Tamini, Biagio Tangredi, Michael Mazzacane et al.

2019 · 0 Zit.

Additional file 1 of Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols

Răzvan-Andrei Licu, Giuseppe Muscogiuri, Davide Casartelli et al.

2026 · 0 Zit.