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Biomedical imaging plays a vital role in patient care, spanning the scale from microscopic and molecular to whole body visualization, and encompassing many areas of medicine, such as radiology, pathology, dermatology, and ophthalmology.

Biomedical imaging informatics is a discipline that focuses on improving patient outcomes through the effective use of images and imaging-derived information in research and clinical care. Developments in the field have implications in diagnosing disease, optimizing treatment, tracking disease response, and predicting outcomes.

The mission of the Biomedical Imaging Informatics Working Group (BMII-WG) is four-fold:

  • to catalyze the development of computational methods for improving the quantification, representation, and clinical translation of images and imaging-derived information,
  • to advocate the evolution and adoption of multimedia electronic health through the seamless integration of imaging and other clinical data, and
  • to identify opportunities for leveraging imaging through the development and validation of new quantitative biomarkers for personalizing care.
  • to act as a resource for members wishing to receive training or education in biomedical imaging informatics.

While imaging informatics encompasses a broad spectrum of topics such as machine learning, natural language processing, semantic representation, and computer reasoning, the growing quantity and complexity of image data presents unique challenges in each area. The working group is dedicated to fostering a vibrant, interdisciplinary research community for the purpose of engaging other professional societies and working groups with complementary interests, facilitating collaborations and knowledge sharing with disciplines outside of informatics, raising awareness of rapid advances in imaging informatics to the broader AMIA community, and serving as a resource for training and research collaborations.


Profile image for Arvind Rao

Arvind Rao

Chair 2023-2024
Cancer Informatics - University of Michigan
Profile image for Olivier Gevaert

Olivier Gevaert

Past Chair 2023
Assistant Professor
Stanford University


  • Performing: Working Group has high level of engagement and output (workshops, papers, webinars)
  • Networking: Working Group has internal and external networking opportunities for members (mentorship programs, social events, collaboration)
  • Developing: New Working Group or revitalizing efforts to grow membership (recruitment efforts, leadership)
Performing: 50%
Networking: 35%
Developing: 15%

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