Kaan Orhan

Differentiation of cervical caries and cervical burnout on orthopantomographic images: a radiomics-based machine learning approach

To evaluate the diagnostic performance of machine learning (ML) algorithms based on radiomic features extracted from orthopantomographic (OPG) images in differentiating cervical caries from cervical burnout. A total of 170 OPG images were retrospectively analyzed, including 85 ce...

Development and Patient-Level Internal Validation of an MRI-Based Radiomics Machine Learning Model for Preoperative Prediction of Cervical Lymph Node Metastasis in Oral Squamous Cell Carcinoma: A Pilot Study

Background/Objectives: Cervical lymph node metastasis (LNM) is the main prognostic factor in oral squamous cell carcinoma (OSCC) and guides the extent of neck treatment. This retrospective pilot study aimed to develop MRI-based radiomics machine learning models for the preoperati...

Manual therapy versus home exercise in the treatment of bruxism: a randomized controlled trial with ultrasonographic, elastographic, and electromyographic assessment

Bruxism is a prevalent condition associated with pain, functional limitations, and neuromuscular alterations. Although non-invasive physiotherapy approaches such as manual therapy (MT) and home exercise (HE) are widely used, randomized controlled trials integrating both clinical...