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Medical Student
Medical University of Gdańsk
Natalia Anna Koc, a fourth-year medical student at the Medical University of Gdańsk, is an aspiring neurosurgeon with a background in clinical research, biomedical imaging, and artificial intelligence applications in neurosurgery. Her academic journey has been distinguished by international neurosurgical training, leadership in research, and active participation in scientific communities. She has completed neurosurgical traineeships at Rigshospitalet in Copenhagen, Tampere University Hospital in Finland, and University Hospital Ostrava in the Czech Republic, where she gained hands-on experience assisting in cranial and spinal surgeries, with a focus on vascular neurosurgery, neuro-oncology, and spine surgical procedures.
Natalia is deeply involved in academic research, particularly at the intersection of medical imaging, deep learning, and neurosurgical outcomes. As the spine surgery research coordinator at the Medical Intelligence Laboratory, she leads a project utilizing deep learning algorithms to predict postoperative pain based on paraspinal muscle morphometry. She has also contributed to meta-analyses on lumbar fusion surgery, brain arteriovenous malformations, and cerebrovascular diseases. She is actively engaged in interdisciplinary projects analyzing radiological predictors for spinal deformities.
Her research efforts have led to multiple articles submitted to recognized journals and conference presentations, including the 3rd EANS-ACNS World Young Neurosurgeons Congress. She has been recognized for her contributions with the Rector's Scholarship for academic excellence and has secured funding for research projects, including a multicenter study on lipid metabolism disorders. Natalia is also involved in biochemical research, investigating lipid oxidation metabolites as biomarkers for complications in aneurysmal subarachnoid hemorrhage.
Beyond research, Natalia plays an active role in the Student Scientific Circle of Neurosurgery and Surgery and has contributed to the organization of national and international neurosurgical conferences. Her passion for bridging technology and neurosurgery drives her work in AI-driven clinical assessments, personalized neurosurgical treatment strategies, translational approach, and advanced imaging analysis.
With a strong foundation in clinical neurosurgery, medical imaging, and machine learning, Natalia aims to advance innovative neurosurgical techniques and AI applications in cerebrovascular and spinal disorders, ultimately improving patient outcomes and precision in neurosurgical decision-making.