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Sano Szymon Płotka

Research / Medical Imaging and Robotics

Szymon Płotka

PostDoc in Medical Imaging and Robotics

Szymon Płotka obtained his PhD in Computer Science in 2024 from the Informatics Institute at the University of Amsterdam, where his research focused on applying deep learning to enhance prenatal care. His doctoral thesis, “Enhancing Prenatal Care Through Deep Learning,” explored advanced machine learning algorithms for medical image analysis, with a particular emphasis on applications in fetal video ultrasound imaging.

Szymon’s research interests lie at the intersection of computer vision, machine learning, and deep learning-based algorithms for medical image analysis. He is particularly interested in developing innovative AI-driven solutions for improving diagnostic accuracy, integrating multimodal data sources, and optimizing healthcare workflows. His work aims to bridge the gap between cutting-edge artificial intelligence and real-world clinical applications, contributing to more efficient and accessible medical imaging technologies.