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zadetkov: 425
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  • Use of CT and artificial in... Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology
    Neri, Emanuele; Miele, Vittorio; Coppola, Francesca ... La œRadiologia medica, 05/2020, Letnik: 125, Številka: 5
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    The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded the number of cases reported in China. Italian radiology departments found themselves at the ...
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  • A deep look into radiomics A deep look into radiomics
    Scapicchio, Camilla; Gabelloni, Michela; Barucci, Andrea ... La œRadiologia medica, 10/2021, Letnik: 126, Številka: 10
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    Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The ...
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  • Artificial intelligence: Wh... Artificial intelligence: Who is responsible for the diagnosis?
    Neri, Emanuele; Coppola, Francesca; Miele, Vittorio ... Radiologia medica, 06/2020, Letnik: 125, Številka: 6
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    The aim of the paper is to find an answer to the question “Who or what is responsible for the benefits and harms of using artificial intelligence in radiology?” When human beings make decisions, the ...
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  • Artificial intelligence: ra... Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey
    Coppola, Francesca; Faggioni, Lorenzo; Regge, Daniele ... Radiologia medica, 01/2021, Letnik: 126, Številka: 1
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    Purpose To report the results of a nationwide online survey on artificial intelligence (AI) among radiologist members of the Italian Society of Medical and Interventional Radiology (SIRM). Methods ...
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  • Quantitative imaging decisi... Quantitative imaging decision support (QIDSTM) tool consistency evaluation and radiomic analysis by means of 594 metrics in lung carcinoma on chest CT scan
    Fusco, Roberta; Granata, Vincenza; Mazzei, Maria Antonietta ... Cancer control, 01/2021, Letnik: 28
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    Objective: To evaluate the consistency of the quantitative imaging decision support (QIDSTM) tool and radiomic analysis using 594 metrics in lung carcinoma on chest CT scan. Materials and Methods: We ...
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  • Artificial Intelligence in ... Artificial Intelligence in Radiology-Ethical Considerations
    Brady, Adrian P; Neri, Emanuele Diagnostics, 04/2020, Letnik: 10, Številka: 4
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    Artificial intelligence (AI) is poised to change much about the way we practice radiology in the near future. The power of AI tools has the potential to offer substantial benefit to patients. ...
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  • Impact of the COVID-19 outb... Impact of the COVID-19 outbreak on the profession and psychological wellbeing of radiologists: a nationwide online survey
    Coppola, Francesca; Faggioni, Lorenzo; Neri, Emanuele ... Insights into imaging, 02/2021, Letnik: 12, Številka: 1
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    Background The COVID-19 outbreak has played havoc within healthcare systems, with radiology sharing a substantial burden. Our purpose is to report findings from a survey on the crisis impact among ...
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  • Involvement of radiologists... Involvement of radiologists in oncologic multidisciplinary team meetings: an international survey by the European Society of Oncologic Imaging
    Neri, Emanuele; Gabelloni, Michela; Bäuerle, Tobias ... European radiology, 02/2021, Letnik: 31, Številka: 2
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    Objectives Multidisciplinary tumour boards (MTBs) play an increasingly important role in managing cancer patients from diagnosis to treatment. However, many problems arise around the organisation of ...
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