Work

Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence

Year: 2026

Type: article

Source: American Journal of Roentgenology

DOI: 10.2214/ajr.26.34686

Authors: Hyungjin Kim, Jong Eun Lee, Kum Ju Chae, Jooae Choe, Jung Hee Hong, Kwang Nam Jin, Hyo-Jae Lee, Yun-Hyeon Kim, Anna J. Podolanczuk, Christopher J. Ryerson, Yeon Joo Jeong, Soonho Yoon

Institutions: Seoul National University, Seoul National University Hospital, Asan Medical Center, University of Ulsan, Jeonbuk National University Hospital, Jeonbuk National University, Keimyung University Dongsan Medical Center, Keimyung University Dongsan Hospital, Seoul Metropolitan Government, SNUH SMG-SNU Boramae Medical Center, Chonnam National University Hwasun Hospital, Chonnam National University Hospital, Weill Cornell Medicine, University of British Columbia, St. Paul's Hospital, Centre for Heart Lung Innovation, Pusan National University Hospital, Pusan National University, National Jewish Health

Language: English

Topic: Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7147100232

FWCI: 4.618

Cites: 1

Cited by: 1

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