Data science to improve the diagnostic and prognostic capacity of medical technologies.
Led by Dr. Sinem Burcu Erdoğan
Research theme 04 / 06
Medical AI and health data science
Data science for diagnosis and prognosis: AI in radiology, brain–machine interfaces, clinical decision support and sensor data.
- 2groups
- 72researchers
- 4facilities
Theme lead
Dr. Sinem Burcu Erdoğan
About this theme
The Acıbadem Data Analytics Laboratory (ADALAB) uses data science methods to improve the diagnostic and prognostic capacity of medical technologies. Its active topics include AI in radiology, rapid reporting through speech-to-text, AI for brain–machine interfaces, AI in neuropsychiatry and deep learning for clinical decision support.
The theme also covers the machine-learning side of biosensing at ACU-BCBL and the Faculty of Engineering and Natural Sciences' computer and biomedical engineering departments, and it is the entry point for companies that need measurement, validation or prototyping help from a university team.
Groups & labs 2
All groupsResearch group ADALAB — Acıbadem Data Analytics Lab Research group Medical Ethics Research Group Bioethics and medical ethics research, from research integrity to the ethics of emerging technologies.
Led by Prof. Fatma Yeşim Işıl Ülman
People 72
All 72 researchers-
Assoc. Prof. Gızem Ağır
Associate Professor of Nutrition And Dietetics
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Prof. Ata Akın
Professor of Biomedical Engineering; co-founder of the Acıbadem Data Analytics Lab
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Asst. Prof. Ayşenur Aktaş
Assistant Professor of Psychology
- Prof. Mustafa Aktekın Professor of Anatomy
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Dr. Erdoğan Oğuzhan Akyıldız
Dr.
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Assoc. Prof. Deniz Can Alis
Associate Professor of Radiology
- Assoc. Prof. Dilek Altun Associate Professor
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Prof. İnan Anaforoğlu
Professor of Internal Diseases
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Prof. Erman Aytaç
Professor of General Surgery
- Assoc. Prof. Ayşe Ebru Bahadır Associate Professor of Eye Surgery
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Prof. Yaman Barlas
Professor of Endüstri Mühendisliği Bölümü
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Prof. Murat Baş
Professor
Facilities 4
Research capacity
Core facilities
Biodesign Center
Design studio and prototyping workshop for clinical innovation: from need and idea to prototype, IP and commercialisation.
Access terms : Biodesign Center-
Application & research centres
CASE
Simulation-based training and R&D on innovative simulation platforms, with the only advanced endoscopic and robotic surgery training centre in Türkiye.
Access terms : CASE — Center of Advanced Simulation and Education 
Application & research centres
Neuroradiology Center
Advanced MRI research: SWI, ASL, intraoperative MRI, MR spectroscopy, diffusion tensor imaging and fMRI, with support for high-field MRI projects across Türkiye.
Access terms : Neuroradiology Application and Research Center
Application & research centres
International Joint Center
Research in genomics, microbiomics, tissue regeneration, joint preservation and AI for joint health, founded by Prof. Javad Parvizi.
Access terms : International Center for Joint Health Application and Research
Latest news
All 40 news itemsSustainability Report has Been Published
Prepared in accordance with the GRI Standards and the United Nations Sustainable Development Goals, our report presents our environmental, social, and economic sustainability efforts through measurable indicators.
1 min readSchool of Medicine receives an AMEE ASPIRE Certificate of Merit for student engagement
Acıbadem University School of Medicine was one of two institutions recognised in the Student Engagement category of the 2026 ASPIRE to Excellence Awards, presented at AMEE 2026 in Vienna.
2 min readProf. Dr. Fatma Yeşim Işıl Ulman’s Project Receives Erasmus+ KA220-HED Funding
Prof. Dr. Fatma Yeşim Işıl Ulman’s Project Receives Erasmus+ KA220-HED Funding
Best Poster Award from EHMA 2026 for the Study by the Department of Health Management
The study titled “Reimbursement Policies for Digital Therapeutics: A Bibliometric Analysis of Research Trends, Policy Frameworks, and Evidence Gaps,” presented by Res.
1 min read
Voices
All VoicesCan medical AI be trusted on a real ward?
Dr. Deniz Karaca on what happens when an algorithm trained on tidy data meets the untidy reality of a hospital, and how his group tests for it.
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Theme lead
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Neuroscience
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Theme lead
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Biomaterials
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Theme lead
Assoc. Prof. Özgül Gök Özatay
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Theme lead
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Rare diseases & genomics
Undiagnosed and rare diseases, orphan drugs and the genetics of neurological and autoinflammatory disease.
Theme lead
Prof. Eda Tahir Turanlı
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