Serhat Aydin, M.D.
Research Fellow
Research Fellows
Description
Dr. Aydin represents an emerging model of physician-scientist, merging advanced statistical expertise with artificial intelligence to transform neurosurgical care. His work at UPMC SCOLI focuses on applying AI, radiomics, and machine learning to address critical challenges in spine surgery and neurological disease.
Beyond clinical applications, his work on large language models in patient education reflects a commitment to empowering patients through accessible, evidence-based information that supports shared decision-making and improved health literacy.
Research Interests
Dr. Aydin brings sophisticated computational and analytical skills to SCOLI's research initiatives, with particular expertise in:
- • Large Language Model Applications in Neurosurgery
- • AI-Driven Patient Education Platforms
- • Clinical Decision Support Systems
- • Radiomic Data Processing and Analysis
- • Predictive Modeling in Spine Surgery
- • Advanced Statistical Methodology
- • Systematic Review and Meta-Analysis
- • Computational Spine Biomechanics
- • Translational Neuroscience
Technical Expertise & Current Focus
Dr. Aydin brings sophisticated computational and analytical skills to SCOLI's research initiatives, with particular expertise in:
• Large Language Model Applications in Neurosurgery: Implementing AI-driven patient education platforms and clinical decision support systems, with publications examining the integration of LLMs into neurosurgical practice and medication guidance
• Radiomic Data Processing and Analysis: Advanced extraction and analysis of quantitative imaging features for predictive modeling in spine surgery, developing computational approaches to enhance preoperative planning and outcome prediction
• Advanced Statistical Methodology: Proficiency in systematic review methodology and meta-analysis using statistical programs for evaluation of clinical outcomes and treatment efficacy across neurosurgical subspecialties
Academic Background & Training
Dr. Aydin earned his medical degree from Koç University School of Medicine, Turkey's most competitive medical institution, after ranking 18th among 3 million candidates on the nationwide entrance examination. During medical school, he conducted research at the Koç University Gamma Knife Center while simultaneously collaborating remotely with several institutions in the United States.
He served on the Curriculum Development Committee and contributed to mentorship and medical literacy advocacy initiatives throughout his medical training.
Research Training & Experience
His current research fellowship at UPMC's SCOLI Lab provides him with extensive experience in:
• Advanced statistical analysis and computational modeling • Artificial intelligence applications in clinical neurosurgery • Grant writing and research administration • Radiomic data extraction and predictive analytics • Systematic reviews and meta-analyses • Multi-institutional collaborative research
Professional Development & Scholarly Productivity
Dr. Aydin is actively engaged in professional development within the neurosurgical community through memberships in prestigious organizations:
• Congress of Neurological Surgeons (CNS) • European Association of Neurosurgical Societies (EANS) • American Association of Neurological Surgeons (AANS) • American Academy of Neurology (AAN) • American Heart Association (AHA)
He has presented research at major conferences including CNS and EANS annual meetings. To date, his scholarly productivity includes over 20 peer-reviewed publications as part of 35+ total contributions, including abstracts and poster presentations.
Future Vision
Dr. Aydin's multidisciplinary approach combining clinical training, advanced computational skills, and international research experience positions him to advance AI-enhanced neurosurgery, radiomics for surgical planning, and translational research that bridges computational innovation with improved patient outcomes across spine and neurological care.