University of Pavia
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The coming of age of artificial intelligence in medicine
Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli et al.
2008 · 602 Zit.
Experimental evidence of effective human–AI collaboration in medical decision-making
Carlo Reverberi, Tommaso Rigon, Aldo Solari et al.
2022 · 178 Zit.
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi et al.
2022 · 142 Zit.
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
Arianna Dagliati, Alberto Malovini, Valentina Tibollo et al.
2021 · 128 Zit.
Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA
Giuseppe Muscogiuri, Mattia Chiesa, Michela Trotta et al.
2019 · 99 Zit.
Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues
Lorenzo Cobianchi, Juan M. Verde, Tyler J. Loftus et al.
2022 · 93 Zit.
AlforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.
Paolo Soda, Natascha Claudia D’Amico, Jacopo Tessadori et al.
2021 · 91 Zit.
High-dose erythropoietin in patients with acute myocardial infarction: A pilot, randomised, placebo-controlled study
Maurizio Ferrario, Eloisa Arbustini, Margherita Massa et al.
2009 · 87 Zit.
Evaluating pointwise reliability of machine learning prediction
Giovanna Nicora, Miguel Rios, Ameen Abu‐Hanna et al.
2022 · 85 Zit.
The socio-organizational age of artificial intelligence in medicine
Mario Stefanelli
2001 · 69 Zit.
Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
Lorenzo Cobianchi, Daniele Piccolo, Francesca Dal Mas et al.
2023 · 64 Zit.
ChatGPT in society: emerging issues
Mirko Farina, Andrea Lavazza
2023 · 58 Zit.
The Potential of AI in Health Higher Education to Increase the Students’ Learning Outcomes
Maria José Sousa, Francesca Dal Mas, António Pesqueira et al.
2021 · 52 Zit.
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Roberto V. Zicari, James Brusseau, Stig Nikolaj Fasmer Blomberg et al.
2021 · 51 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.