A5070185970- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Hearing Loss and Rehabilitation
- Palliative Care and End-of-Life Issues
- Hearing, Cochlea, Tinnitus, Genetics
- Cancer survivorship and care
- MRI in cancer diagnosis
- AI in cancer detection
- Advanced X-ray and CT Imaging
- Ultrasound Imaging and Elastography
- Ear Surgery and Otitis Media
- Dialysis and Renal Disease Management
- Breast Cancer Treatment Studies
- Radiology practices and education
- Vascular Procedures and Complications
- Patient-Provider Communication in Healthcare
- Advanced Breast Cancer Therapies
- Breast Lesions and Carcinomas
- Cancer Treatment and Pharmacology
- Central Venous Catheters and Hemodialysis
Sağlık Bilimleri Üniversitesi
2023-2025
University of Health Sciences Antigua
2023-2024
Eastern Mediterranean University
2020
Marmara University
2007
Abstract Objectives To develop an efficient deep learning (DL) model for breast cancer detection in mammograms, utilizing both weak (image-level) and strong (bounding boxes) annotations providing explainable artificial intelligence (XAI) with gradient-weighted class activation mapping (Grad-CAM), assessed by the ground truth overlap ratio. Methods Three radiologists annotated a balanced dataset of 1976 mammograms (cancer-positive -negative) from three centers. We developed patch-based DL...
Abstract Background A valid measure to describe the most important needs and concerns of people with life-threatening illnesses is missing in Cyprus. Our aim was adapt test cross-cultural validity responsiveness Integrated Palliative care Outcome Scale (IPOS) a cohort Turkish speaking cancer patients. Methods The IPOS (English) patient-reported translated into following published guidelines including, 2 independent forward, blind backward translations, expert panel review by 7 members field...
Abstract Aim This study aimed to assess the predictive role of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte lymphocyte-to-monocyte and mean platelet volume, on catheter survival in chronic hemodialysis patients, analyzing both infectious non-infectious complications. Methods A retrospective analysis encompassed 1279 tunneled insertion procedures involving 902 patients between March 2014 October 2018. Patients were categorized into two main groups: (i) initial placement (ii)...
Preoperative assessment of the cochlear duct length (CDL) and dimensions allows selection optimized implants. We aimed to evaluate CDL measurements in incomplete partition (IP) defect patients create a reference literature.Forty-one with IP (13 I, 23 II, 5 III) 30 controls were included study. The standardized image showing basal turn most expansive plane was reconstructed from temporal high-resolution computed tomography images. Cochlear measured manually (CDL-M) by points placed...
Objectives:The purpose of the study was to evaluate cochlea dimensions by multiplanar reconstruction high-resolution computed tomography that could be useful in diagnosing incomplete partition (IP) malformations.Methods: This included 32 patients with 64 side cochleae diagnosed IP defect and 38 as control without any defect.Basal turn length (BL), cochlear height (CH), Mid-apical (MAL), height, Cochlear (A), width (B) were measured on reformat images.Results: Twenty these have been type I,...
11102 Background: Breast cancer patients (pts) with NN disease have diverse clinical outcomes. An optimal treatment decision- making tool has not been defined for this heterogeneous group. Methods: We identified pts who treated between 1998–2006 in our department. recorded the clinical/pathological, characteristics and analyzed their survival outcome. High risk (HR) was as having at least one of following features: age<35 yr-old, grade 3 tumors (tms), ER PR negative tms, tm size >2 cm....