Data-Driven Digital Portal Advances Spine Surgery
By HospiMedica International staff writers Posted on 04 Jul 2017 |
Image: The UNiD HUB digital spinal surgery planning software (Photo courtesy of Medicrea).
A novel software platform delivers predictive modeling resources to drive intelligent strategic decisions and create personalized surgical implant solutions.
The Medicrea (Neyron, France) UNiD HUB software is intended for digital surgical planning in spine surgery in order to create a seamless communication channel between UNiD LAB biomedical engineers and surgeon users in order to deliver UNiD TEK patient-specific spinal implants, which are manufactured by the company through proprietary rod bending and three dimensional (3D) printing techniques. UNiD HUB also serves to enhance existing proprietary technology utilized by the Medicrea UNiD Adaptive Spine Intelligence (ASI) platform.
The digital communication portal opened with the introduction of UNiD HUB creates a user-friendly environment for surgeons to identify tendencies and correlations, track and manage open cases in both snapshot and detailed views, access their complete patient history with post-operative analyses, and hold a dialogue with a dedicated biomedical engineer in real time. UNiD HUB was developed in desktop and mobile applications, and is accessible from medical offices as well as on the go.
“This new generation of software will be more than a communication tool for surgeons; it will grant surgeons access to the same data analytics and machine learning technology that is curated by our data scientists to use the UNiD HUB as an unparalleled research engine and networking platform,” said Denys Sournac, President and CEO of Medicrea. “The UNiD HUB represents Medicrea’s ability to lead the spine industry with breakthrough innovations by offering a unique forward-thinking and holistic approach to personalized spinal surgery.”
The UNiD TEK patient-specific spinal rod is pre-contoured and customized using a reproducible industrial process that eliminates the intraoperative use of a bending device. The UNiD HUB platform helps the surgeons preoperatively plan and order customized rods to fit the specific spinal alignment needed prior to surgery, thus reducing the amount of time patients spend in the operating room, which also directly impacts infection rate and quality of recovery.
The UNiD rods are available in two alloys (Titanium TA6V ELI or Cobalt Chromium), and two diameters (5.5 or 6 mm), matching global standards. The rods also fit into the PASS LP thoraco-lumbar fixation system, which also includes the UNiD anterior lumbar interbody fusion (ALIF) spine cages created with a three-dimensional (3D) printer. Specific software and advanced imaging are used to make the cages out of Poly Ether Ketone Ketone (PEKK) in order to reproduce the anatomic details of a patient’s vertebral endplates.
Related Links:
Medicrea
The Medicrea (Neyron, France) UNiD HUB software is intended for digital surgical planning in spine surgery in order to create a seamless communication channel between UNiD LAB biomedical engineers and surgeon users in order to deliver UNiD TEK patient-specific spinal implants, which are manufactured by the company through proprietary rod bending and three dimensional (3D) printing techniques. UNiD HUB also serves to enhance existing proprietary technology utilized by the Medicrea UNiD Adaptive Spine Intelligence (ASI) platform.
The digital communication portal opened with the introduction of UNiD HUB creates a user-friendly environment for surgeons to identify tendencies and correlations, track and manage open cases in both snapshot and detailed views, access their complete patient history with post-operative analyses, and hold a dialogue with a dedicated biomedical engineer in real time. UNiD HUB was developed in desktop and mobile applications, and is accessible from medical offices as well as on the go.
“This new generation of software will be more than a communication tool for surgeons; it will grant surgeons access to the same data analytics and machine learning technology that is curated by our data scientists to use the UNiD HUB as an unparalleled research engine and networking platform,” said Denys Sournac, President and CEO of Medicrea. “The UNiD HUB represents Medicrea’s ability to lead the spine industry with breakthrough innovations by offering a unique forward-thinking and holistic approach to personalized spinal surgery.”
The UNiD TEK patient-specific spinal rod is pre-contoured and customized using a reproducible industrial process that eliminates the intraoperative use of a bending device. The UNiD HUB platform helps the surgeons preoperatively plan and order customized rods to fit the specific spinal alignment needed prior to surgery, thus reducing the amount of time patients spend in the operating room, which also directly impacts infection rate and quality of recovery.
The UNiD rods are available in two alloys (Titanium TA6V ELI or Cobalt Chromium), and two diameters (5.5 or 6 mm), matching global standards. The rods also fit into the PASS LP thoraco-lumbar fixation system, which also includes the UNiD anterior lumbar interbody fusion (ALIF) spine cages created with a three-dimensional (3D) printer. Specific software and advanced imaging are used to make the cages out of Poly Ether Ketone Ketone (PEKK) in order to reproduce the anatomic details of a patient’s vertebral endplates.
Related Links:
Medicrea
Latest Health IT News
- Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients
- Strategic Collaboration to Develop and Integrate Generative AI into Healthcare
- AI-Enabled Operating Rooms Solution Helps Hospitals Maximize Utilization and Unlock Capacity
- AI Predicts Pancreatic Cancer Three Years before Diagnosis from Patients’ Medical Records
- First Fully Autonomous Generative AI Personalized Medical Authorizations System Reduces Care Delay
- Electronic Health Records May Be Key to Improving Patient Care, Study Finds
- AI Trained for Specific Vocal Biomarkers Could Accurately Predict Coronary Artery Disease
- First-Ever AI Test for Early Diagnosis of Alzheimer’s to Be Expanded to Diagnosis of Parkinson’s Disease
- New Self-Learning AI-Based Algorithm Reads Electrocardiograms to Spot Unseen Signs of Heart Failure
- Autonomous Robot Performs COVID-19 Nasal Swab Tests
- Statistical Tool Predicts COVID-19 Peaks Worldwide
- Wireless-Controlled Soft Neural Implant Stimulates Brain Cells
- Tiny Polymer Stent Could Treat Pediatric Urethral Strictures
- Human Torso Simulator Helps Design Brace Innovations
- 3D Bioprinting Rebuilds the Human Heart