Through the lens of predictive medicine, Medicrea leads the design, integrated manufacture, and distribution of more than 30 510(k) cleared implant technologies, utilized in over 175,000 spinal surgeries to date. Medicrea, through its UNiD ASI platform, transforms surgeon and patient intel through a proprietary process that forms an iterative virtuous information cycle. The Company starts with a dedicated biomedical LAB engineer measuring patient images with detailed anormative alignment values and using proprietary HUB software to develop surgical strategies based on surgeon feedback. Using this data, an engineer designs a patient-specific TEK implant based on the agreed strategy and produces to order through no-notch bending and 3D printing. The Company then creates a Case Memo for the patient-specific TEK implant delivered for surgery where the surgeon can confirm its plan. Unlike with standard implants, the surgeon does not need to size and manually manipulate the TEK implant. Post-operation, a LAB engineer maintains the Company’s database of anonymized case intel within the HUB portal and delivers post-op analyses directly to the surgeon to track each case outcome. Medicrea’s data scientists incorporate the latest AI into its HUB software to identify tendencies and correlations that form useful patterns, which inform sophisticated predictive models to examine the most difficult clinical questions in pursuit of reducing costs and improving outcomes for the next case.
Medtronic plc, headquartered in Dublin, Ireland, is among the world's largest medical technology, services, and solutions companies – alleviating pain, restoring health, and extending life for millions of people around the world. Medtronic employs more than 90,000 people worldwide, serving physicians, hospitals, and patients in more than 150 countries. The company is focused on collaborating with stakeholders around the world to take healthcare Further, Together.
Medtronic would become the first company to offer an integrated solution including artificial intelligence-driven surgical planning, personalized spinal implants and robotic assisted surgical execution.