Virginia Tech professor training machines to diagnose human injuries
Musculoskeletal injuries, such as small tendon tears, can be challenging for the human eye to detect on ultrasound images.
Vincent Wang, the Kevin P. Granata faculty fellow and associate professor in biomedical engineering and mechanics, is using clinical ultrasound images to train computers to detect these injuries, with the goal of facilitating more accurate medical diagnoses.
Watch the video to learn more about this research.
Carrie Cheung, a graduate student in biomedical engineering, works with Wang to develop algorithms to identify ultrasound image features unique to injured tendons. Their hope is that these algorithms can be used in clinical settings where machines can identify injuries in real-time. These analyses may assist with clinical diagnosis and injury prevention.
“Our approach resembles that used for facial recognition in commonly used smartphone apps,” Wang said.
This project is a collaboration with Bert Huang and Wu Feng in computer science at Virginia Tech for creation of algorithms and code and Albert Kozar in sports medicine at the Edward via College of Osteopathic Medicine to supply the tendon images.
UVA Basketball Fans!
Dick Vitale on Team of Destiny: “This is a hoops story you will LOVE! Jerry and Chris capture the sensational and dramatic championship journey by Tony Bennett and his tenacious Cavalier team. UVA was Awesome Baby and so is this book!”
Ralph Sampson on Team of Destiny: “Jerry and Chris have lived and seen it all, even before my time. I highly recommend this book to every basketball fan across the globe. This story translates to all who know defeat and how to overcome it!”
Feedback from buyers: “Got the Book in the Mail Saturday, and could not put it down! Great read and great photography as well! Love all of the books I’ve received, but hands down, this is my favorite!” – Russell