Research

The Department of Artificial Intelligence and Informatics seeks to leverage biomedical informatics, machine-learning techniques and artificial intelligence (AI) to facilitate translational study in clinical practice and biomedical research.

Focus areas

Researchers in the department study a variety of topics, including:

  • Biomedical knowledge discovery, management and delivery.
  • Biomedical terminologies, ontologies and data standards.
  • Cancer informatics.
  • Clinical decision support.
  • Clinical research informatics.
  • Clinical text mining and natural language processing.
  • Computer vision.
  • Data science and AI in healthcare.
  • Electronic health record-driven clinical phenotyping.
  • Informatics research on the variation in healthcare delivery.
  • Knowledge induction and dissemination for clinical practice.
  • Machine learning and deep learning.
  • Medical imaging informatics.
  • Precision medicine informatics.
  • Precision population health.
  • Quantitative medicine.
  • Understanding and incorporating patients' perspectives into practice.