IRCCS Policlinico San Donato

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

Filippo Pesapane, Marina Codari, Francesco Sardanelli

2018 · 815 Zit.

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

Isabella Castiglioni, Leonardo Rundo, Marina Codari et al.

2021 · 695 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.

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 · 257 Zit.

Evidence-based radiology: why and how?

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

2009 · 106 Zit.

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy

Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi et al.

2021 · 86 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.

A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound

Salvatore Gitto, Giorgia Grassi, Chiara De Angelis et al.

2018 · 51 Zit.

Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?

Giuseppe Baselli, Marina Codari, Francesco Sardanelli

2020 · 50 Zit.

CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools

Luis Martí‐Bonmatí, Ana Miguel, A. Suárez‐García et al.

2022 · 39 Zit.

Impact of AI on radiology: a EuroAIM/EuSoMII 2024 survey among members of the European Society of Radiology

Moreno Zanardo, Jacob J. Visser, Anna Colarieti et al.

2024 · 35 Zit.

Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia

Christian Salvatore, Matteo Interlenghi, Caterina Beatrice Monti et al.

2021 · 22 Zit.

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.

2025 · 21 Zit.

Assessing the Value of Diagnostic Tests in the Coronavirus Disease 2019 Pandemic

Francesco Sardanelli, Giovanni Di Leo

2020 · 21 Zit.