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ExpertiseUpdated on 21 July 2026

Healthcare AI Expertise

PhD and CEO at DATASURGERY YAZILIM VE DANISMANLIK A.S.

Istanbul, Türkiye

About

DATASURGERY Software and Consulting Inc. was established with the aim of developing next-generation technologies that reduce inter-physician variability in interpretation and evaluation time, improve diagnostic performance through high sensitivity and accuracy, and ultimately enhance patients' quality of life. The company focuses on developing AI-based clinical decision support solutions in the field of radiology and conducts its R&D and innovation activities in Istanbul. DATASURGERY operates within the framework of ISO 27001, ISO 13485, ISO 27701, and ISO 9001 Quality Management Systems.

We leverage advanced technologies, including artificial intelligence, machine learning, medical image processing, natural language processing (NLP), digital twin modeling, and healthcare analytics, to develop innovative digital health solutions. Through our experience in developing AI-powered clinical decision support systems, we have established strong capabilities in medical data management and labeling, radiological image analysis, and the development and integration of AI- and NLP-based algorithms. Our multidisciplinary network includes researchers, healthcare professionals, and expert consultants with extensive experience in artificial intelligence, image processing, radiological imaging, and digital health.

In addition to my role in the company, I am an academician with a PhD in Computer Engineering and expertise in artificial intelligence and digital health technologies. I am particularly interested in participating in national and international R&D and innovation projects, including collaborative research projects, academic–industry partnerships, and multidisciplinary initiatives in artificial intelligence, digital health, medical imaging, clinical decision support systems, and healthcare technologies. I would be pleased to contribute both my academic expertise and DATASURGERY's technological capabilities and R&D experience to collaborative projects and research consortia.

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