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Artificial intelligence for prediction and detection of pediatric surgical site infection.

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Title: Artificial intelligence for prediction and detection of pediatric surgical site infection.
Authors: Bain AP; Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: Andrew.bain@utsouthwestern.edu., Upperman JS; Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Source: Seminars in pediatric surgery [Semin Pediatr Surg] 2026 Feb; Vol. 40, pp. 151577. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article; Review
Journal Info: Publisher: W.B. Saunders Country of Publication: United States NLM ID: 9216162 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-9453 (Electronic) Linking ISSN: 10558586 NLM ISO Abbreviation: Semin Pediatr Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Bain+AP%22">Bain AP</searchLink>; Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA. Electronic address: Andrew.bain@utsouthwestern.edu.<br /><searchLink fieldCode="AU" term="%22Upperman+JS%22">Upperman JS</searchLink>; Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41483999
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        Value: 10.1016/j.sempedsurg.2025.151577
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      – Code: eng
        Text: English
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      – TitleFull: Artificial intelligence for prediction and detection of pediatric surgical site infection.
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            NameFull: Bain AP
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              Text: 2026 Feb
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              Y: 2026
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