University of Pavia
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Predictive data mining in clinical medicine: Current issues and guidelines
Riccardo Bellazzi, Blaž Zupan
2007 · 824 Zit.
The coming of age of artificial intelligence in medicine
Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli et al.
2008 · 611 Zit.
Experimental evidence of effective human–AI collaboration in medical decision-making
Carlo Reverberi, Tommaso Rigon, Aldo Solari et al.
2022 · 191 Zit.
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi et al.
2022 · 148 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 · 129 Zit.
Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes
Niels Peek, Carlo Combi, R. Marı́n et al.
2015 · 122 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 · 96 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.
Evaluating pointwise reliability of machine learning prediction
Giovanna Nicora, Miguel Rios, Ameen Abu‐Hanna et al.
2022 · 88 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 · 72 Zit.
The socio-organizational age of artificial intelligence in medicine
Mario Stefanelli
2001 · 69 Zit.
ChatGPT in society: emerging issues
Mirko Farina, Andrea Lavazza
2023 · 59 Zit.
The Role of Artificial Intelligence and Machine Learning Models in Antimicrobial Stewardship in Public Health: A Narrative Review
Flavia Pennisi, Antonio Pinto, Giovanni Emanuele Ricciardi et al.
2025 · 53 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.