Policlinico San Matteo Fondazione
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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.
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 · 73 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.
Blockchain in radiology research and clinical practice: current trends and future directions
Alberto Tagliafico, Cristina Campi, Bianca Bignotti et al.
2022 · 47 Zit.
SCOR: A secure international informatics infrastructure to investigate COVID-19
Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza et al.
2020 · 46 Zit.
Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
Felix Busch, Lena Hoffmann, Lina Xu et al.
2025 · 45 Zit.
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic
Giovanna Nicora, Michele Catalano, Chandra Bortolotto et al.
2024 · 16 Zit.
Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study
Antonio Desai, Aurora Zumbo, Mauro Giordano et al.
2022 · 15 Zit.
Reshaping free-text radiology notes into structured reports with generative question answering transformers
Laura Bergomi, Tommaso Mario Buonocore, Paolo Antonazzo et al.
2024 · 15 Zit.
Artificial intelligence and infectious diseases: an evidence-driven conceptual framework for research, public health, and clinical practice
Anna Odone, Chiara Barbati, Silvia Amadasi et al.
2025 · 15 Zit.
Predicting paediatric asthma exacerbations with machine learning: a systematic review with meta-analysis
Martina Votto, Annalisa De Silvestri, Lorenzo Postiglione et al.
2024 · 15 Zit.
Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients
Michael Kuo, K.W. Chiu, David S. Wang et al.
2022 · 11 Zit.
Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.
Michele Catalano, Chandra Bortolotto, Giovanna Nicora et al.
2023 · 9 Zit.
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization
Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska et al.
2025 · 8 Zit.