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 · 802 Zit.

Can artificial intelligence help for scientific writing?

Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli

2023 · 769 Zit.

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

Isabella Castiglioni, Leonardo Rundo, Marina Codari et al.

2021 · 677 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 · 452 Zit.

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

Giovanni Di Leo, Francesco Sardanelli

2020 · 428 Zit.

Artificial Intelligence & Creativity: A Manifesto for Collaboration

Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.

2023 · 177 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 · 145 Zit.

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

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

2024 · 140 Zit.

Is AI the Future of Mental Healthcare?

Francesca Minerva, Alberto Giubilini

2023 · 122 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 · 117 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.

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.

Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis

Federico Cabitza, Andrea Campagner, Luca Ronzio et al.

2023 · 88 Zit.

Artificial intelligence applied on chest X-ray can aid in the diagnosis of COVID-19 infection: a first experience from Lombardy, Italy

Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi et al.

2020 · 85 Zit.