A large-scale study found that the introduction of RADLogics' AI-Powered solution into radiology workflow reduced report turnaround time by an average of 30 percent, equivalent to 7 minutes per case. The study also showed a significant improvement in productivity and report accuracy.
Experts have developed a platform for self-testing AI medical services, allowing for automated validation and improvement. The platform provides an opportunity to fine-tune algorithms with unlimited access to data instances, minimizing human factor manipulation.
The study analyzed 150 patients' cranial CT scans and identified three types of angular arteries, with the artery's depth varying by age. The findings suggest that injecting hyaluronic acid into elderly patients requires special caution to avoid damaging the artery, which can be exposed due to fat volume loss.
A new MRI technique has been developed to improve the detection of tumors by enhancing the accuracy of apparent diffusion coefficient (ADC) measurements. The technique uses a phantom designed to assess imaging quality and simulate hindered and restricted diffusion, allowing for more precise tumor differentiation.