{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T16:36:15Z","timestamp":1780763775056,"version":"3.54.1"},"reference-count":54,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Institute of Information and Communications Technology Planning and Evaluation (IITP)","award":["2020-0-01361"],"award-info":[{"award-number":["2020-0-01361"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Background: Patent ductus arteriosus (PDA) is a prevalent congenital heart defect in premature infants, associated with significant morbidity and mortality. Accurate and timely diagnosis of PDA is crucial, given the vulnerability of this population. Methods: We introduce an artificial intelligence (AI)-based PDA diagnostic support system designed to assist medical professionals in diagnosing PDA in premature infants. This study utilized electronic health record (EHR) data from 409 premature infants spanning a decade at Severance Children\u2019s Hospital. Our system integrates a data viewer, data analyzer, and AI-based diagnosis supporter, facilitating comprehensive data presentation, analysis, and early symptom detection. Results: The system\u2019s performance was evaluated through diagnostic tests involving medical professionals. This early detection model achieved an accuracy rate of up to 84%, enabling detection up to 3.3 days in advance. In diagnostic tests, medical professionals using the system with the AI-based diagnosis supporter outperformed those using the system without the supporter. Conclusions: Our AI-based PDA diagnostic support system offers a comprehensive solution for medical professionals to accurately diagnose PDA in a timely manner in premature infants. The collaborative integration of medical expertise and technological innovation demonstrated in this study underscores the potential of AI-driven tools in advancing neonatal diagnosis and care.<\/jats:p>","DOI":"10.3390\/jcm13072089","type":"journal-article","created":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T08:42:34Z","timestamp":1712133754000},"page":"2089","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Artificial Intelligence-Based Diagnostic Support System for Patent Ductus Arteriosus in Premature Infants"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5894-9652","authenticated-orcid":false,"given":"Seoyeon","family":"Park","sequence":"first","affiliation":[{"name":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6719-7934","authenticated-orcid":false,"given":"Junhyung","family":"Moon","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hoseon","family":"Eun","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul 03722, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-Hyuk","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Gwangju 61005, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoungwoo","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.iccn.2004.11.002","article-title":"Ibuprofen in the management of neonatal Patent Ductus Arteriosus","volume":"21","author":"Keady","year":"2005","journal-title":"Intensive Crit. 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