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Emilia Gryska defended her doctoral thesis in medical radiation science on October 7, 2022. Her research focuses on automatic tumor segmentation in brain images aimed at moving towards clinical implementation. Gryska has also contributed to literature on patient-specific plates for distal radius osteotomy. She has participated in various studies, including a preclinical paired non-inferiority study comparing available 3D planning for corrective osteotomy, and an exploratory study examining the impact of CT slice thickness on anatomical accuracy. Her work involves improving surgical guides and fixation methods in hand surgery utilizing machine learning techniques to predict neurologic outcomes in out-of-hospital cardiac arrests. Gryska is dedicated to understanding and implementing artificial intelligence tools in clinical radiology and actively contributing to the evolution of surgical practice.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).