Healthcare Computer Vision Program
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.
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:
Operations
- Director, Ju Sun
- Co-Director, Chris Tignanelli
- Faculty, Tom Byrd
- Project Manager: Steve Pesklo
Members
- 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