Mehmet Tarık Baran

Skin Cancer Classification Using Explainable Artificial Intelligence With an Ensemble Model and Rigorous Leakage Free Validation

Mehmet Tarık Baran, Ömer Karakoyun

Abstract Background Reliable melanoma classification requires models that capture both local dermoscopic morphology and broader contextual patterns while maintaining auditable, leakageaware internal validation. Objectives To develop and internally validate an EfficientNetB0–Swin Transformer Tiny ensemble for classifying histopathologically verified dermoscopic images as benign …

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Artificial Intelligence for ICU Mortality Prediction:Comparative Machine Learning Models and the Role of Surgical Patients

Mehmet Tarık Baran, M. Kabak, Barış Çil

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Application of deep learning methods in the classification of normal and pneumonia lung images

M. Kabak, Mehmet Tarık Baran, Barış Çil

Background: Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in vulnerable populations. Rapid and accurate diagnosis through chest radiographs is essential, but manual interpretation can be subjective and time-consuming. This study aims to develop and evaluate deep learning-based models …

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Predicting positive airway pressure appointment attendance using machine learning and deep learning: the role of clinical and oximetric indicators

Barış Çi̇l, Mehmet Tarık Baran, M. Kabak

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Validation of the OAKS prognostic model for acute kidney injury after gastrointestinal surgery

BACKGROUND: Postoperative acute kidney injury (AKI) is a common complication of major gastrointestinal surgery with an impact on short- and long-term survival. No validated system for risk stratification exists for this patient group. This study aimed to validate externally a prognostic model …

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Timing of nasogastric tube insertion and the risk of postoperative pneumonia: an international, prospective cohort study

Mehmet Tarık Baran

AIM: Aspiration is a common cause of pneumonia in patients with postoperative ileus. Insertion of a nasogastric tube (NGT) is often performed, but this can be distressing. The aim of this study was to determine whether the timing of NGT insertion after …

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PET-CT and MR Imaging in the Management of Axillary Nodes in Early Stage Breast Cancer

Mehmet Tarık Baran, Hasan Gündoğdu, Gökhan Demiral, Osman Kupik et autres

OBJECTIVE: To discriminate between malignant or benign axillary lymph nodes in breast cancer using MRI, PET-CT, and sentinel lymph node biopsy. STUDY DESIGN: Observational study. PLACE AND DURATION OF STUDY: Department of General Surgery, Recep Tayyip Erdogan University School of Medicine, from …

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Safety of hospital discharge before return of bowel function after elective colorectal surgery

EuroSurg Collaborative, Stephen J. Chapman, R Blanco-Colino, S Pérez-Ajates et autres

BACKGROUND: Ileus is common after colorectal surgery and is associated with an increased risk of postoperative complications. Identifying features of normal bowel recovery and the appropriateness for hospital discharge is challenging. This study explored the safety of hospital discharge before the return …

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Safety and efficacy of non-steroidal anti-inflammatory drugs to reduce ileus after colorectal surgery

EuroSurg Collaborative, Stephen J. Chapman, D Clerc, Ruth Blanco‐Colino et autres

BACKGROUND: Ileus is common after elective colorectal surgery, and is associated with increased adverse events and prolonged hospital stay. The aim was to assess the role of non-steroidal anti-inflammatory drugs (NSAIDs) for reducing ileus after surgery. METHODS: A prospective multicentre cohort study …

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