Machine learning in the diagnosis of Hirschsprung disease: a systematic review and meta-analysis.

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Bibliographic Details
Title: Machine learning in the diagnosis of Hirschsprung disease: a systematic review and meta-analysis.
Authors: Liu H; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China., Zhou Y; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China., Wang X; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China., Wang C; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China., Guo S; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China., Sun M; Department of Pediatric Surgery, Chongqing Hospital, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Chongqing, 401121, China., Li S; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China. dr_lishuai@hust.edu.cn., Wang Y; Department of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei Province, China. wangyf188@sohu.com.
Source: Pediatric surgery international [Pediatr Surg Int] 2026 Jun 15; Vol. 42 (1). Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 8609169 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-9813 (Electronic) Linking ISSN: 01790358 NLM ISO Abbreviation: Pediatr Surg Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1437-9813
DOI:10.1007/s00383-026-06487-3