Here are four key developments in spine and orthopedic artificial intelligence since June.
1. Using artificial intelligence can reduce the time needed to analyze lumbar spine MRIs, according to a study published July 25 in the European Journal of Radiology. Researchers drew data from 51 randomly selected adult lumbar spine patients. Interpretation time for MRI readings with AI was on average 8.9 minutes compared to almost 23 minutes without it. The interquartile range for MRI interpretation time with AI assistance was about 5 minutes.
2. Zimmer Biomet signed a definitive agreement to acquire OrthoGrid Systems, which develops artificial intelligence-driven guidance for total hip replacement. OrthoGrid Systems' Hip AI system offers real-time image analysis, automated measurements of leg length and offset and guidance on cup placement.
3. Aclarion's Nociscan artificial intelligence tool has seen multiple accomplishments globally. In a corporate update, the company shared key milestones including multiple partnerships with spine surgeon leaders in the U.S., significant payer coverage in the U.K. and having more than $50 million invested into the platform.
4. Andrew Chan, MD, of Och Spine at NewYork-Presbyterian and Columbia in New York City, is leveraging artificial intelligence to improve surgeries with personalized spine implants. He completed his first case using a 3D-printed implant that was personalized with the help of artificial intelligence in June.