Researchers have developed an AI model that detects metastatic brain cancer spread with 85% accuracy using MRI scans, offering a non-invasive alternative to surgery and potential advancements in cancer treatment.
As AI adoption in breast cancer screening expands, RadNet’s Enhanced Breast Cancer Detection program tackles clinical and accessibility challenges. Here, RadNet’s Timothy M. Merchant and Karen Morad share insights on overcoming barriers, improving affordability, and validating AI’s role in care.
A new study highlights cybersecurity and privacy risks in healthcare extended reality (XR) applications, noting a lack of research, with information disclosure being a major threat, and calls for further studies and robust security measures in clinical settings.
A new deep learning model detects clinically significant prostate cancer on MRI as accurately as experienced abdominal radiologists, showing potential as an adjunct tool to improve cancer detection rates.
A team of engineers at the University of California, San Diego, has developed a wearable, stretchable, ultrasonic array that can non-invasively and serially map the mechanical properties of deep human tissues, providing crucial information for the progression of diseases.
ImmersiveTouch Inc. has received 510(k) clearance from the U.S. FDA for its augmented reality platform, ImmersiveAR, which enhances surgical planning and intraoperative 3D visualization.