Azienda Ospedaliero-Universitaria Careggi

Artificial intelligence: Who is responsible for the diagnosis?

Emanuele Neri, Francesca Coppola, Vittorio Miele et al.

2020 · 228 Zit.

Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey

Francesca Coppola, Lorenzo Faggioni, Daniele Regge et al.

2020 · 167 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.

Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

Emanuele Neri, Vittorio Miele, Francesca Coppola et al.

2020 · 125 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.

Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment

Roberta Fusco, Roberta Grassi, Vincenza Granata et al.

2021 · 89 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 · 64 Zit.

ChatGPT vs. neurologists: a cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis

Elisabetta Maida, Marcello Moccia, Raffaele Palladino et al.

2024 · 48 Zit.

Explainable AI in radiology: a white paper of the Italian Society of Medical and Interventional Radiology

Emanuele Neri, Gayanè Aghakhanyan, Marta Zerunian et al.

2023 · 45 Zit.

Artificial intelligence: a challenge for third millennium radiologist

Roberto Grassi, Vittorio Miele, Andrea Giovagnoni

2019 · 40 Zit.

The Promise and Pitfalls of AI-Generated Anatomical Images: Evaluating Midjourney for Aesthetic Surgery Applications

Giovanni Buzzaccarini, Rebecca Susanna Degliuomini, Marco Borin et al.

2024 · 35 Zit.

Tackling the small data problem in medical image classification with artificial intelligence: a systematic review

Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro et al.

2024 · 23 Zit.

AI and Interventional Radiology: A Narrative Review of Reviews on Opportunities, Challenges, and Future Directions

Andrea Lastrucci, Nicola Iosca, Yannick Wandael et al.

2025 · 21 Zit.

Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development

Andrea Lastrucci, Antonia Pirrera, Graziano Lepri et al.

2024 · 15 Zit.

Revolutionizing Radiology with Natural Language Processing and Chatbot Technologies: A Narrative Umbrella Review on Current Trends and Future Directions

Andrea Lastrucci, Yannick Wandael, Angelo Barra et al.

2024 · 12 Zit.