V
Vittorio Miele
Researcher at University of Florence
Publications - 297
Citations - 4268
Vittorio Miele is an academic researcher from University of Florence. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 26, co-authored 214 publications receiving 2241 citations.
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Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome.
Diletta Cozzi,Marco Albanesi,Edoardo Cavigli,Chiara Moroni,Alessandra Bindi,Silvia Luvarà,S. Lucarini,S. Busoni,Lorenzo Nicola Mazzoni,Vittorio Miele +9 more
TL;DR: The main chest radiological features (CXR) of COVID-19 shows patchy or diffuse reticular–nodular opacities and consolidation, with basal, peripheral and bilateral predominance, correlating with an increased risk of ICU admission.
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Role of Contrast-Enhanced Ultrasound (CEUS) in Paediatric Practice: An EFSUMB Position Statement.
Paul S. Sidhu,Vito Cantisani,Annamaria Deganello,Christoph F. Dietrich,Carmina Duran,Doris Franke,Zoltan Harkanyi,Wojciech Kosiak,Vittorio Miele,Aikaterini Ntoulia,Maciej Piskunowicz,Maria E. Sellars,Odd Helge Gilja +12 more
TL;DR: This position statement of the European Federation of Societies in Ultrasound and Medicine (EFSUMB) assesses the current status of CEUS applications in children and makes suggestions for further development of this technique.
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Artificial intelligence: Who is responsible for the diagnosis?
TL;DR: Future legislation must outline the contours of the professional's responsibility, with respect to the provision of the service performed autonomously by AI, balancing the professional’s ability to influence and therefore correct the machine, limiting the sphere of autonomy that instead technological evolution would like to recognize to robots.
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Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.
TL;DR: SIRM recommends chest X-ray as first-line imaging tool, CT as additional tool that shows typical features of COVID pneumonia, and ultrasound of the lungs as monitoring tool, and wishes to deliver clear statements to the radiological community, on the usefulness of artificial intelligence as a radiological decision support system in COVID-19 positive patients.
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Dual energy CT (DECT) of the liver: conventional versus virtual unenhanced images
Carlo N. De Cecco,Vitaliano Buffa,S. Fedeli,M. Luzietti,A. Vallone,Roberto Ruopoli,Vittorio Miele,Marco Rengo,Pasquale Paolantonio,Michelangelo Maurizi Enrici,Andrea Laghi,Vincenzo David +11 more
TL;DR: VU images can be obtained with similar image quality as CU, Nevertheless, a complete abdominal DECT is possible only in patients with a low body mass index, due technical limitations of the present DECT systems.