Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.

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Bibliographic Details
Title: Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.
Authors: Lee HW; Division of Respiratory and Critical Care, Department of Internal Medicine.; College of Medicine, Seoul National University, Seoul, Korea., Jin KN; Department of Radiology, and.; College of Medicine, Seoul National University, Seoul, Korea., Oh S; Medical Research Collaborating Center, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea., Kang SY; Department of Internal Medicine., Lee SM; Department of Internal Medicine., Jeong IB; Department of Internal Medicine, College of Medicine., Son JW; Department of Internal Medicine, College of Medicine., Han JH; Department of Medical Engineering, and., Heo EY; Division of Respiratory and Critical Care, Department of Internal Medicine.; College of Medicine, Seoul National University, Seoul, Korea., Lee JG; Division of Respiratory and Critical Care, Department of Internal Medicine.; College of Medicine, Seoul National University, Seoul, Korea., Kim YJ; Department of Biomedical Engineering, Gachon University, Incheon, Korea., Kim EY; Department of Radiology, Gil Medical Center, College of Medicine, and., Cho YJ; School of Medicine, Konyang University, Daejeon, Korea; and.; Department of Radiology, Konyang University Hospital, Daejeon, Korea.
Source: Annals of the American Thoracic Society [Ann Am Thorac Soc] 2023 May; Vol. 20 (5), pp. 660-667.
Publication Type: Randomized Controlled Trial; Multicenter Study; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Thoracic Society Country of Publication: United States NLM ID: 101600811 Publication Model: Print Cited Medium: Internet ISSN: 2325-6621 (Electronic) Linking ISSN: 23256621 NLM ISO Abbreviation: Ann Am Thorac Soc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2325-6621
DOI:10.1513/AnnalsATS.202206-481OC