AI-Assisted Early Detection of Subtle Pelvis Fractures
A team of researchers in Japan has developed an AI-powered technology that can help doctors diagnose subtle pelvis fractures in patients with osteoporosis. This technology is expected to be particularly beneficial for clinics that lack access to CT scanners, as it can accurately identify fractures from X-ray images.
The technology was developed by a research team at Hyogo Prefectural Harima-Himeji General Medical Center and the University of Hyogo's Advanced Medical Engineering Research Institute. The team used 3D CT scans of patients to create synthesized X-ray images of subtle pelvic fractures, which were then used to train a deep learning algorithm.
The research team, led by Bangladeshi researcher Rashedur Rahman, published their findings in the online edition of Scientific Reports in April. Rahman, who is pursuing his Ph.D. in engineering at the University of Hyogo, hopes to use his research to improve patient care and ensure timely treatment for those with subtle pelvis fractures.
The technology is expected to be particularly beneficial for older adults, who are more susceptible to osteoporosis and pelvis fractures. By enabling early diagnosis, the AI-powered technology can help patients receive timely treatment and avoid potential complications.
The research team is currently working on making the technology available to clinics and hospitals. They believe that this technology has the potential to significantly improve the diagnosis and treatment of subtle pelvis fractures, particularly in settings where access to advanced imaging equipment is limited.