University of Milan

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Filippo Pesapane, Marina Codari, Francesco Sardanelli

2018 · 813 Zit.

Can artificial intelligence help for scientific writing?

Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli

2023 · 784 Zit.

AI applications to medical images: From machine learning to deep learning

Isabella Castiglioni, Leonardo Rundo, Marina Codari et al.

2021 · 692 Zit.

Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States

Filippo Pesapane, Caterina Volonté, Marina Codari et al.

2018 · 459 Zit.

Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach

Giovanni Di Leo, Francesco Sardanelli

2020 · 435 Zit.

What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

Elisa Giulia Liberati, Francesca Ruggiero, Laura Galuppo et al.

2017 · 316 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

Artificial Intelligence & Creativity: A Manifesto for Collaboration

Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.

2023 · 189 Zit.

Application of BMP-7 to tibial non-unions: A 3-year multicenter experience

Nikolaos K. Kanakaris, Giorgio Maria Calori, René Verdonk et al.

2008 · 146 Zit.

Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review

Maria Frasca, Davide La Torre, Gabriella Pravettoni et al.

2024 · 145 Zit.

Is AI the Future of Mental Healthcare?

Francesca Minerva, Alberto Giubilini

2023 · 123 Zit.

Accuracy of ChatGPT‐Generated Information on Head and Neck and Oromaxillofacial Surgery: A Multicenter Collaborative Analysis

Luigi Angelo Vaira, Jérôme R. Lechien, Vincenzo Abbate et al.

2023 · 118 Zit.

Evidence-based radiology: why and how?

Francesco Sardanelli, M. G. Myriam Hunink, Fiona J. Gilbert et al.

2009 · 106 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.

Interventional Radiology ex-machina: impact of Artificial Intelligence on practice

Martina Gurgitano, Salvatore Alessio Angileri, Giovanni Maria Rodà et al.

2021 · 98 Zit.