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The algorithm uses machine learning to help surgeons plan and personalise procedures for patients undergoing lower lumbar spine surgery and predicts spinal compensation mechanisms six months after the operation.
This new update also includes enhancements to the paediatric and adult deformity algorithms predicting compensatory changes to the spine.
The release comes with a new UNiD Hub patient-centric platform that enables surgeons to track patients throughout the perioperative care pathway and assess surgical results through long-term radiographic and patient-reported outcomes data collection.
Dan Wolf, vice president and general manager, intelligent Data Solutions within the Cranial & Spinal Technology business at Medtronic, said: "Patient by patient, our UNiD Lab engineers have learned from more than 10,000 spine surgery cases to deliver greater insights to surgeons that lead to better patient alignment. It is truly exciting to share that we have expanded our UNiD ASI technology to include hardware and software solutions dedicated to helping spine surgeons treat degenerative spinal pathologies, where the majority of spine surgery is performed."
Degenerative spine disease is a common health condition and significant cause of disability for many patients worldwide. The UNiD ASI Degen Algorithm helps surgeons achieve spinal alignment by more accurately planning procedures and predicting spinal alignment after six months.
Surgical planning, using the UNiD Spine Analyser, is especially important for degenerative spine procedures, as studies suggest nearly a third of these degenerative patients have a hidden deformity. A study suggests that when sagittal alignment is not achieved during these procedures, patients are at ten times greater risk of experiencing degeneration of discs above or below the level where the operation was performed. A study shows that 62% of patients remained sagittally misaligned after their procedure which may lead to revision surgery.
Dr. Christopher Kleck, an orthopaedic spine surgeon at the University of Colorado, said: "Alignment matters for all spinal surgery – both short construct degen and long construct deformity cases. Planning all of these cases with my UNiD Lab engineer ensures that my surgical plan is backed by artificial intelligence and clinically important predictive models to set my patients up for long-term success."
This new technology further demonstrates Medtronic's commitment to offering solutions for all spinal pathologies, including deformity and degenerative conditions. Over time, UNiD ASI technology will continue to evolve as more case data is added and predictive algorithms are further refined to help make spine surgery more predictable for surgeons and patients alike.
