Deep Learning in medical imaging (diagnosis, prediction) and clinical imaging outcomes prediction, clinical decision support, imaging utilization and appropriateness, cohort feature engineering with structured and unstructured EMR data for modeling applications
In the face of ever escalating complexity in medicine, integrating informatics solutions is the only credible approach to systematically address challenges in healthcare. Tapping into real-world clinical data streams like electronic medical records with machine learning and data analytics will reveal the community’s latent knowledge in a reproducible form. Delivering this back to clinicians, patients, and healthcare systems as clinical decision support will uniquely close the loop on a continuously learning health system. My group seeks to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to medicine that will deliver better care than what either can do alone.
Research Areas:
Research Areas: