This is how man and machine can work together to diagnose disease
Engineers at the Center for Computational Imaging and Personalized Diagnostics are using AI to help doctors identify patterns in patients.
At the Center of Computational Imaging and Personalized Diagnostics at Case Western Reserve University, we are involved in various different aspects of developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition, and machine learning tools for disease diagnosis, prognosis, and theragnosis in the context of breast, prostate, head and neck, and brain tumors as well as epilepsy and carotid plaque. Our group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales, modalities, and functionalities—from gene and protein expression to spectroscopy to digital pathology and to multi-parametric MRI.