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

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Bibliographic Details
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
Description
ISSN:1471-2431
DOI:10.1186/s12887-026-06711-y