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Sep. 22 (Thu),
09:40-11:00
Scientific Session (SS 20)
Chest
Adv
English
Chair(s)
Chang Min Park (Korea)
Grand Ballroom 105, 1F
(Room 5)
AI and chest radiology
Kwang Nam Jin (Korea)
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09:40-09:49
AI-based software increased detection rate of clinically significant lung nodules on chest radiographs in health checkup population: a pragmatic, randomized controlled trial of 11,062 radiographs
Ju Gang Nam (Korea, Republic of)
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09:49-09:58
Evaluation of preoperative chest radiographs using a deep learning-based computer-aided detection system to predict the risk of postoperative pneumonia
Taehee Lee (Korea, Republic of)
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09:58-10:07
Interpretation of chest radiographs using artificial intelligence-based computer-aided detection system in patients with acute respiratory symptoms in the emergency department: a pragmatic randomized controlled trial
Eui Jin Hwang (Korea, Republic of)
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10:07-10:16
Artificial intelligence solution for identification of actionable abnormalities on chest radiographs: a retrospective case-control study
Moon Young Kim (Korea, Republic of)
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10:16-10:25
Analysis of a deep learning system for evaluation of presence and location of endotracheal tube on chest radiographs.
Jiyeong An (Korea, Republic of)
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10:25-10:34
Effect of clinical implementation of artificial intelligence-based computer-aided detection system for chest X-rays on referral rate to chest CT
Wonju Hong (Korea, Republic of)
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10:34-10:43
Artificial intelligence-augmented chest radiography interpretation: real world experience in health checkup population
Meesun Lee (Korea, Republic of)
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10:43-10:52
Development and validation of deep learning-based computer-aided detection system for pulmonary embolism on chest computed tomography
Ye Ra Choi (Korea, Republic of)
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10:52-11:00
Deep learning-based automatic classification of lung ultrasound findings in patients with respiratory symptoms
Seungwan Hong (Korea, Republic of)