Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

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Title: Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.
Authors: Hong W; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Xu X; Deepwise Artificial Intelligence Laboratory, Beijing, 100080, China., Yuan J; Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Affiliated With School of Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, 200127, China.; Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Hainan Province, Sanya, 572022, China., Wu L; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Wang X; Department of Cardiology, Guizhou Provincial People's Hospital, Guizhou Province, Guiyang, 550002, China., Kong L; Department of Medical Imaging, Linyi Women & Children's Healthcare Hospital, Shandong Province, Linyi, 276000, China., Zhang X; Department of Ultrasound, Fujian Children's Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Province, Fuzhou, 350004, China., Chen L; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Liu Y; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Wang A; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Li S; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Shen R; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Zhu J; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China., Wu T; Deepwise Artificial Intelligence Laboratory, Beijing, 100080, China., Dong B; Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Affiliated With School of Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, 200127, China., Wang H; Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Affiliated With School of Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, 200127, China., Zhao L; Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Affiliated With School of Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University, Shanghai, 200127, China. zhaoliebin@126.com., Liu X; Deepwise Artificial Intelligence Laboratory, Beijing, 100080, China. xiaoqing.liu@ieee.org., Zhang Y; Department of Pediatric Cardiology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China. changyuqi6812@163.com.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 May 11. Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2948-2933
DOI:10.1007/s10278-026-01916-0