Focus Areas

Research priorities

The Division of Digital Health Sciences promotes collaborative activities to advance the methods, applications and infrastructure in digital medicine. The division's research goal is 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 Division of Digital Health Sciences study a variety of research topics, including:

  • AI modeling
  • 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
  • Computational vision
  • Data science and AI in health care
  • Electronic health record-driven clinical phenotyping
  • Informatics research on variations in health care delivery
  • Knowledge induction and dissemination for clinical practice
  • Machine and deep learning modeling
  • Medical imaging informatics
  • Precision medicine informatics
  • Precision population health
  • Quantitative medicine
  • Understanding and incorporating patient perspectives into practice