{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:40Z","timestamp":1747216180458,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685335"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,22]]},"abstract":"<jats:p>Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review according to the PRISMA guidelines, investigating the landscape of AI applications in prenatal CHD detection. Through searches on PubMed, Embase, and Web of Science, 621 articles were screened, yielding 28 relevant studies for analysis. Deep Learning (DL) emerged as the predominant AI approach. Data types were limited to ultrasound and MRI sequences mainly. This comprehensive analysis provides valuable insights for future research and clinical practice in CHD detection using AI applications.<\/jats:p>","DOI":"10.3233\/shti240537","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T09:44:08Z","timestamp":1724406248000},"source":"Crossref","is-referenced-by-count":0,"title":["Data for AI in Congenital Heart Defects: Systematic Review"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6441-5913","authenticated-orcid":false,"given":"Paula Josephine","family":"Mayer","sequence":"first","affiliation":[{"name":"Core Unit eHealth and Interoperability, BIH at Charit\u00e9, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5705-7396","authenticated-orcid":false,"given":"Rasim Atakan","family":"Poyraz","sequence":"additional","affiliation":[{"name":"Core Unit eHealth and Interoperability, BIH at Charit\u00e9, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5949-5269","authenticated-orcid":false,"given":"Thimo","family":"H\u00f6lter","sequence":"additional","affiliation":[{"name":"Core Unit eHealth and Interoperability, BIH at Charit\u00e9, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3346-6806","authenticated-orcid":false,"given":"Sylvia","family":"Thun","sequence":"additional","affiliation":[{"name":"Core Unit eHealth and Interoperability, BIH at Charit\u00e9, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7499-8115","authenticated-orcid":false,"given":"Carina Nina","family":"Vorisek","sequence":"additional","affiliation":[{"name":"Core Unit eHealth and Interoperability, BIH at Charit\u00e9, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240537","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T09:44:09Z","timestamp":1724406249000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240537"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240537","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}