Advances in Orthopedic Diagnosis Using Artificial Intelligence
- Foot & Ankle Research and Innovation Laboratory (FARIL) researchers have found that machine learning algorithms and artificial intelligence techniques on X-ray and CT scan increase the diagnosis of occult foot and ankle fractures with up to 95% accuracy
- Soheil Ashkani-Esfahani, MD, and his FARIL colleagues are developing comprehensive software that can not only interpret the images of patients’ injuries, but also consider other patients’ data in its judgment for that specific condition or illness
- FARIL takes a multidisciplinary approach, freely collaborating with specialists and researchers across the Mass General Brigham system and at other leading institutions in order to spread diagnostic knowledge and improve foot and ankle outcomes globally
New Model for Foot and Ankle Research and Innovation
- Christopher W. DiGiovanni, MD, is chief of Foot and Ankle Service at Massachusetts General Hospital, team physician for Boston College Athletics, consultant team physician for the U.S. Ski Team and associate professor of orthopaedic surgery at Harvard Medical School
- Daniel Guss, MD, MBA, is a foot and ankle orthopaedic surgeon at Massachusetts General Hospital and an assistant professor of orthopaedic surgery at Harvard Medical School
- In this video, they discuss how the researchers in the Mass General Foot and Ankle Research and Innovation Lab collaborate to develop better diagnosis options, technologies and surgical techniques so that care is accessible and effective for patients