Four insights:
1. The lumbar decompression and fusion procedure was performed on a 61-year-old patient with grade 2 spondylolisthesis.
2. Designed to reduce operation time and surgical complications, the ARAI platform combines 3D visualization, data analytics and machine learning.
3. The system also features the ability to color code the patient’s organs. Using AI to autonomously segment and analyze patient anatomy and identity, ARAI is designed so surgeons can clearly see the patient’s color-coded organs as if they were not covered by skin, muscles and connective tissue.
4. During the lumbar decompression and fusion procedure, the system automatically identified relevant anatomical structures, color-coded them, presented a treatment plan and guided the surgeon to place the implant using augmented reality-based 3D visualization.
More articles on devices and implants:
Globus Medical projects 2018 sales at $712.5M: 5 notes
New robots may improve spine surgery accuracy: 4 things to know
Barclays analyst criticizes Medtronic — Here’s what CEO Omar Ishrak had to say
At the Becker's 23rd Annual Spine, Orthopedic and Pain Management-Driven ASC + The Future of Spine Conference, taking place June 11-13 in Chicago, spine surgeons, orthopedic leaders and ASC executives will come together to explore minimally invasive techniques, ASC growth strategies and innovations shaping the future of outpatient spine care. Apply for complimentary registration now.
