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Contribution of AI fort radiologist's ability to grade COVID-19 pneumonia on CTдоклад на конференции
- Авторы: Pakhomov P., Bazhenova D., Plotnikova M., Staroseltsev A., Lisitskaya M., Mershina E., Sinitsyn V.
- Международная Конференция (Конгресс) : European Congress of Radiology 2021, Online
- Даты проведения конференции: 3-7 марта 2021
- Дата доклада: 3 марта 2021
- Тип доклада: Стендовый
- Докладчик: Pakhomov P.
- Место проведения: Austria
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Аннотация доклада:
According to international guidelines and the global experience, chest CT has significant value in diagnostic workup and triage of patients with viral pneumonia (COVID-19). Experience shows that subjective quantification of ground-glass opacities (GGO) could be quite variable. Dedicated artificial intelligence (AI) software is used for accurate detection and quantification of ground-glass opacities areas.The study's objective was to compare the diagnostic performance of radiologists and AI in the quantification of ground-glass opacities in COVID-19 patients and to estimate the influence of artificial intelligence (after the learning period ) on the doctor's ability to grade ground-glass opacities.
- Добавил в систему: Пахомов Павел Владимирович