A conversation on new AI software which can identify a five-fold greater rate of potential fractures.
When it comes to addressing fractures and bone health, such injuries are generally treated and then forgotten about. If the patient then presents with a more serious fracture, though, it can be damaging.
Because of this, fracture liaison services have been established so that patients are actively identified and treated for fractures. The process, however, is labor-intensive.
That’s were artificial intelligence (AI) can play a role. The technology has shown efficacy and accuracy in scanning radiology reports and flagging patients with a fracture more quickly than a human expert, according to recent study findings.
Specifically, a team of Australia-based investigators developed AI software which identified a near five-fold higher number of potential fractures than the manual method. The investigators aimed to use the technology to address the treatment gap for patients with osteoporosis who fracture and are not treated.
For more information on the study and the topic of how AI can be used to identify fractures and improve bone health outcomes, HCPLive® spoke with Jacqueline Center, MBBS, FRACP, PhD, from the Garvan Institute of Medical Research in Australia. Center broke down the findings of her research presented at the Endocrine Society (ENDO) 2020 Annual Scientific Sessions, how such technologies can be implemented at your practice, and more.