Neural Network Model

The FDA has granted breakthrough device designation to a Spanish health-tech company for its Intelligent Network Modulation System as an adjunctive therapy for treating Parkinson’s disease.

Published results showed a convolutional neural network method successfully detected vertebrae and measured Cobb angles on X-ray imaging of patients with adolescent idiopathic scoliosis.

Convolutional neural networks may be used to perform lower limb alignment and axes analysis with similar outcomes to orthopedic surgery fellows, according to results.

Use of an artificial neural network model identified Charlson comorbidity index and smoking status as the strongest predictors of surgical site infection after total joint arthroplasty, according to results.

Researchers developed a prediction model using neural networks that outperformed the MELD-Na score in the identification of liver transplants waitlist mortality, according to research presented at The Liver Meeting Digital Experience.

Artificial neural networks can assess and detect radiographic sacroiliitis, helping physicians to diagnose and classify axial spondyloarthritis, according to data presented at the American College of Rheumatology 2020 Annual Meeting.

Artificial intelligence and machine learning could aid in the advancement and application of knowledge in foot and ankle surgery, according to a presenter at the at the American Orthopaedic Foot & Ankle Society Annual Meeting.

The NIMH is working to further research efforts in three priority areas — suicide prevention, neural circuits and computation, according to a presenter at the American Psychiatric Association Spring Highlights Meeting.

Eko announced that a novel ECG-based algorithm to screen for HF has been granted breakthrough device status from the FDA.