We are Shaping the Future of Healthcare with AI
As SBU-AI Hub, we develop solutions that enhance the quality of healthcare and shape the future of medicine through our research in medical imaging, clinical decision support systems, health data analytics, and digital health technologies.
About Us
The SBU-Health AI Research Group is a research group within Turkey's largest health university, the Health Sciences University, conducting research in health and artificial intelligence. Our goal is to effectively use AI technologies in healthcare to revolutionize diagnosis, treatment, and patient care.
Our Mission
To develop AI applications in healthcare that enable early diagnosis of diseases, improve treatment processes, and increase the efficiency of healthcare systems.
Our Vision
To be a pioneer in AI applications in healthcare in Turkey and worldwide and to become an internationally recognized center of excellence in this field.
Our Research Areas
We conduct research in various fields to develop AI applications in healthcare. Here are our key research focus areas:
Medical Imaging and Diagnostic Algorithms AI Research Group
We develop AI-assisted image analysis and diagnostic systems in radiology, pathology, and ophthalmology.
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Clinical Decision Support Systems AI Research Group
We develop data-driven decision support systems to assist physicians in diagnosis and treatment processes.
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Biomedical Signal Processing and Monitoring AI Research Group
We develop continuous patient monitoring and early warning systems by analyzing physiological signals like ECG, EEG, and EMG using AI methods.
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Health Data Science and Big Data Analytics AI Research Group
We analyze large health datasets to identify disease trends and conduct epidemiological studies.
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Genomics, Bioinformatics and Personalized Medicine AI Research Group
We develop personalized medicine applications through the analysis of genetic data.
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Digital Health, Smart Systems, Wearable and Biomedical Technologies AI Research Group
We develop accessible healthcare services through remote patient monitoring, telemedicine applications, and digital health platforms.
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Drug Discovery and Pharmacology AI Research Group
We work on AI applications for the discovery and development of new drug molecules.
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Public Health and Epidemiology AI Research Group
We analyze public health dynamics using AI to support epidemic prediction, disease spread modeling, and public health intervention planning.
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Medical Education, Simulation and Virtual Reality AI Research Group
We develop AI-based training platforms, simulation systems, and personalized learning solutions for medical students and healthcare professionals.
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AI Ethics, Law and Policies in Healthcare AI Research Group
We develop ethical principles, legal regulations, and policy recommendations to ensure the safe, fair, and transparent use of AI technologies in healthcare.
More InfoOur Current Projects
Projects we are conducting to develop AI applications in healthcare:
BrainScan AI: Early Diagnosis of Neurological Diseases
We are developing a system that uses AI in brain MRI images to detect early signs of Alzheimer's and other neurodegenerative diseases.
GenomPredict: Personalized Cancer Risk Analysis
We are developing a platform that performs personalized cancer risk analysis using genetic data and machine learning.
MedText: Automated Analysis of Medical Reports
We are developing an AI-based system that automatically analyzes medical reports and extracts key findings.
Our Board of Directors
The SBU-AI Hub board consists of expert academics from different departments of the Health Sciences University.
Our Recent Publications
Recent scientific publications by our research team in health and artificial intelligence:
Deep Learning for Automated Detection of Diabetic Retinopathy in Fundus Images: A Comparative Study
Özkan M, Demir Z, Yılmaz A, Kaya A. Journal of Medical Artificial Intelligence, 2024; 15(3): 245-258.
This study compares the performance of different deep learning models in diabetic retinopathy detection and proposes a new hybrid model particularly for early-stage detection.
AI-Based Prediction of COVID-19 Severity from Chest CT Images: A Multi-Center Study in Turkey
Yılmaz A, Kaya A, Arslan M, Yıldız S. European Journal of Radiology, 2023; 152: 110358.
In a multicenter study in Turkey, an AI model was developed to predict disease severity from chest CT images of COVID-19 patients.
Natural Language Processing for Automated Extraction of Clinical Findings from Turkish Radiology Reports
Demir Z, Arslan M, Yıldız S. Turkish Journal of Medical Sciences, 2023; 53(4): 1125-1136.
A natural language processing-based system was developed for automated extraction of clinical findings from Turkish radiology reports.
Upcoming Events
Conferences, seminars, and workshops we organize in the field of health and artificial intelligence:
AI in Medical Research Workshop
A national workshop discussing AI applications in medical research. Featuring expert speakers and the latest research results.
Medical Image Processing Workshop
A hands-on workshop on AI applications in radiology and pathology images. Limited capacity.
AI Ethics in Healthcare
An online seminar discussing the ethical and legal aspects of AI applications in healthcare.
Our Partnerships
Institutions we collaborate with in the field of health and artificial intelligence:
Republic of Turkey
Ministry of Health
University of Health Sciences
TUBITAK
TUSEB
Teknopol Istanbul
Teknopolis
Technology Transfer Office
Why Should You Join Our Research Group?
Join SBU-AI Hub to access unique research opportunities, advance your career, and become part of pioneering work in healthcare artificial intelligence.
Global Research Network
Access an unparalleled research ecosystem with active campuses in 5 countries, 60 hospital networks, and 4,000+ researchers.
10 Specialized Areas
Opportunities to specialize in medical imaging, clinical decision support, genomics, digital health, and many more areas.
Coordinated Approach
Create powerful synergies through systematic coordination instead of scattered individual efforts.
Comprehensive Support
Access training programs, funding support, technology transfer, and international collaborations.
From Individual Effort to Collective Power
Unique data access: Access to diverse demographic structures and clinical data sources from 60 hospitals
Interdisciplinary collaboration: Joint projects with colleagues from different areas of expertise
Technology transfer: Support for translating your research results into clinical applications
Sustainable resource utilization: Shared infrastructure and resource optimization
Current Coordination Gap
- • Independent and scattered research efforts
- • Repetitive research and resource waste
- • Disconnect between clinical needs and research
- • Inefficient utilization of expertise
SBU-AI Hub Solution
- • Systematic coordination and synergy creation
- • Shared infrastructure and resource optimization
- • Clinical need-focused research agendas
- • Interdisciplinary expert teams
Our 2030 Vision
"Algorithms developed in our Istanbul hospitals saving lives in African health centers, research from Ankara creating value in Central Asian clinics"
Ready to Join Turkey's Leading AI Center?
Learn more about the unique opportunities and comprehensive support system offered by SBU-AI Hub.
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Contact Us
You can contact us for your questions, collaboration proposals, or more information.