According to a 2016 estimation from IBM researchers, 90% of all Medical Big Data is imaging data. 

Computer vision is a form of artificial intelligence where computers can “see” the world, analyze visual data and then make decisions from it or gain understanding about the environment and situation.


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The Value of Computer Vision in Health Care

The widespread adoption of visual AI strategies for health care has only just begun. As a subfield of artificial intelligence, visual AI [computer vision] enables computers to "see" and process images and videos faster, more accurately, and more cost efficiently than a highly trained medical practitioner. Computer vision technology is quickly offering many benefits to the healthcare industry, such as:

  • Accurate and efficient imaging analysis
  • Smart operating rooms
  • Better patient identification
  • Increased healthcare safety
  • Accelerated medical research

Redacted from: HIMSS

HCVP People

The Healthcare Computer Vision Program (HCVP) is comprised of the following people:


  • Director, Ju Sun
  • Co-Director, Chris Tignanelli
  • Faculty, Tom Byrd
  • Project Manager: Steve Pesklo


  • Le Peng
  • Adrian Niu
  • Prajwal Pradhan
  • Tiancong Chen
  • Hengyue Liang

HCVP Projects

Current key projects of the HCVP include:

  • Diagnostic (Federated Learning) Rib Fracture – Peng
  • Integration of NLP + CV models for multimodal model creation - Niu
  • Prognostic Rib Fracture - Pradhan
  • Debes US HCC - Chen
  • Tic Detection and Audiogram - Liang