The AI in Medical Science research team is dedicated to bridging the gap between cutting-edge computational technology and clinical healthcare. We collaborate with medical experts to create intelligent solutions oriented toward patient safety and improved quality of life.
Our primary focus is applying Deep Learning and intelligent data analytics to Electronic Health Records (EHR) and medical imaging (such as X-Rays, MRIs, and CT-Scans). These technologies are designed as Clinical Decision Support Systems (CDSS) to help doctors provide faster, more precise, and affordable diagnoses for the wider community.
Automated segmentation and classification of radiological images for early detection of anomalies such as tumors, cancer cells, and lung abnormalities.
Developing adaptive predictive models based on clinical history and genetic data to determine risk levels and recommend medical interventions.
Implementing integrated health application ecosystems (such as OncoDoc) for patient habit monitoring, early detection via wearables, and Telemedicine services.
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Research Coordinator
Expert in Medical Image Processing and the implementation of AI architectures in smart healthcare devices.
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