The Department of Artificial Intelligence and Informatics promotes collaborative activities for advancing the methods, applications and infrastructure in digital medicine with the emphasis on the synergy of people, processes and technology, representing a multidisciplinary unification based on biomedical, computational and social sciences. Research goals of the division are to leverage biomedical informatics, machine-learning techniques and artificial intelligence to facilitate translational study in clinical practice and biomedical research.

Focus areas

Researchers in the Department of Artificial Intelligence and Informatics study a variety of research topics.

  • 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 artificial intelligence in health care
  • Electronic Health Record (EHR)-driven clinical phenotyping
  • Informatics research on the variation in health care 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 patient perspectives into practice