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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.