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. |
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| 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 |
| ISSN: | 1532-9453 |
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| DOI: | 10.1016/j.sempedsurg.2025.151577 |
