A successful first-in-human surgical procedure utilising ARAI, an augmented reality and artificial intelligence based surgical navigation system (HoloSurgical) has been carried out.
The ARAI is an advanced digital surgery platform that combines 3D visualisation, data analytics, and machine learning to improve outcomes, reduce surgical time, and decrease surgical complications. The clinically-tested ARAI surgical guidance system provides real-time, patient-specific, 3D anatomical visualisation for pre-surgical planning, real-time intraoperative guidance, and postsurgical data analytics. The system:
- Provides surgeons with “X-ray-like vision”, allowing them to “see” the colour-coded organs as if they were not covered by the skin, muscles and connective tissue
- Utilises artificial intelligence to autonomously segment and analyse patient anatomy and identify (by colour coding) key anatomical landmarks in real time
- Utilises artificial intelligence to autonomously plan the surgical procedure in seconds, including implant size and position; avoids inadvertent injury to critical structures (such as nerves and vessels); and offers real-time “smart guidance” during the surgery.
- Utilises augmented reality to allow surgeons to visualise internal anatomical structures such as nerves, vessels, joints, and bones in 3D without making incisions and without looking at a monitor—thus, away from the surgical field
- Increases surgical accuracy and precision by offering surgeons real-time interactive guidance and providing alerts and suggestions throughout the surgical procedure
- Reduces operating time, cost, and complications caused by suboptimal surgical execution
The case, a lumbar decompression and fusion procedure, was performed on a 61-year-old male suffering from severe back and leg pain as a result of a grade 2 spondylolisthesis, a degenerative spinal condition resulting in spinal stenosis. The surgery was performed in a minimally invasive fashion and the ARAI system was flawlessly incorporated into the surgeon’s regular work-flow.
During the procedure, the ARAI system automatically identified relevant anatomical structures and colour coded them, presented a treatment plan, and guided the surgeon to place the implant using augmented reality-based 3D visualisation.