The Spinal Rhizotomy device is designed to transect nerves causing back pain. This innovative apparatus offers direct visualized rhizotomy using an elongated tubular sheath with specialized features. Additionally, from the same inventor, a separate portfolio covers a machine learning algorithm that reports what a panel of surgeons might recommend for surgery referrals, helping patients and primary care doctors reduce time waste and insurance spending.

Key Features of the Rhizotomy Device

• Elongated Tubular Sheath
  The device comprises an elongated tubular sheath, crucial for the procedure. The sheath’s design facilitates direct visualization, enhancing the precision of nerve transection.
• Proximal and Distal Ends
  At the proximal end, the sheath allows for cannula insertion, providing a secure entry point. The horizontal shaft spans to the distal end, where strategically positioned cut-aways enhance the accuracy of the procedure.
• Integrated Endoscope Camera
  An integrated endoscope camera at the distal end provides orthogonal visualization. This feature ensures optimal guidance during the rhizotomy, allowing for precise nerve transection and reducing the risk of complications.

Machine Learning Algorithm for Surgery Referrals

• Data-Driven Recommendations
  The algorithm analyzes patient data and surgical outcomes, providing evidence-based recommendations. It helps streamline the referral process, ensuring patients receive the most appropriate care without delays.
• User-Friendly Interface
  The algorithm features a user-friendly interface, making it accessible to both patients and healthcare providers. This ease of use ensures that the recommendations are clear and actionable.

Advantages and Applications

• Enhanced Precision
  The rhizotomy device’s design ensures precise nerve transection, directly targeting the nerves responsible for back pain. The orthogonal visualization provided by the endoscope camera enhances accuracy and safety.
• Optimized Referrals
  The machine learning algorithm’s recommendations help primary care doctors make informed decisions. This optimization reduces unnecessary consultations, saving time and insurance costs.

In conclusion, the Spinal Rhizotomy device and the machine learning algorithm represent significant advancements in medical technology. They offer enhanced precision in back pain treatments and improved efficiency in surgical referrals, benefiting both patients and healthcare providers.

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