Artificial Intelligence-Based Prediction of Recurrence and Personalized Treatment Planning in Pediatric Pilonidal Sinus Disease.
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| Title: | Artificial Intelligence-Based Prediction of Recurrence and Personalized Treatment Planning in Pediatric Pilonidal Sinus Disease. |
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| Authors: | Öztaş T; Department of Pediatric Surgery, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey., Çal S; Department of Pediatric Surgery, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey., Akdeniz S; Department of Pediatric Surgery, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey., Teğin S; Department of Pediatric Surgery, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey. |
| Source: | Surgical innovation [Surg Innov] 2026 Jun; Vol. 33 (3), pp. 225-233. Date of Electronic Publication: 2025 Dec 23. |
| Publication Type: | Evaluation Study; Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 101233809 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1553-3514 (Electronic) Linking ISSN: 15533506 NLM ISO Abbreviation: Surg Innov Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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