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Artificial Intelligence–Based Prediction of Recurrence and Personalized Treatment Planning in Pediatric Pilonidal Sinus Disease

Year: 2025

Type: article

Study design: Observational Study

Source: Surgical Innovation

DOI: 10.1177/15533506251411009

Authors: Tülin Öztaş, Suat Çal, Sevinç Akdeniz, Serdest Teğin

Institution: Diyarbakır Gazi Yaşargil Eğitim ve Araştırma Hastanesi

Language: English

Topic: Anorectal Disease Treatments and Outcomes

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7116852989

FWCI:

Cites: 40

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