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Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.

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Title: Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.
Authors: Wan W; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China., Luo T; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China., Zhang X; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China., Guo C; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China., Wang X; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China. wxm6910@163.com.; Sichuan Maternal and Child Health Hospital, No. 290 Shayan West Second Street, Wuhou District, Chengdu, Sichuan, China. wxm6910@163.com.
Source: BMC pediatrics [BMC Pediatr] 2026 Mar 17; Vol. 26 (1). Date of Electronic Publication: 2026 Mar 17.
Publication Type: Systematic Review; Journal Article; Meta-Analysis
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967804 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2431 (Electronic) Linking ISSN: 14712431 NLM ISO Abbreviation: BMC Pediatr Subsets: MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
An: 41845312
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.
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  Data: <searchLink fieldCode="AU" term="%22Wan+W%22">Wan W</searchLink>; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China.<br /><searchLink fieldCode="AU" term="%22Luo+T%22">Luo T</searchLink>; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China.<br /><searchLink fieldCode="AU" term="%22Guo+C%22">Guo C</searchLink>; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; The Pediatric Heart Disease Center, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, 610000, China. wxm6910@163.com.; Sichuan Maternal and Child Health Hospital, No. 290 Shayan West Second Street, Wuhou District, Chengdu, Sichuan, China. wxm6910@163.com.
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  Data: <searchLink fieldCode="JN" term="%22100967804%22">BMC pediatrics</searchLink> [BMC Pediatr] 2026 Mar 17; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Mar 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100967804 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2431 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712431%22">14712431 </searchLink><i>NLM ISO Abbreviation: </i>BMC Pediatr <i>Subsets: </i>MEDLINE
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s12887-026-06711-y
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      – Code: eng
        Text: English
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      – TitleFull: Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.
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            NameFull: Wan W
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            NameFull: Luo T
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            NameFull: Zhang X
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            NameFull: Guo C
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            – D: 17
              M: 03
              Text: 2026 Mar 17
              Type: published
              Y: 2026
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              Value: 1471-2431
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              Value: 26
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              Value: 1
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            – TitleFull: BMC pediatrics
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