AI Mammogram Risk Scores Help Predict Future Breast Cancer
Longitudinal changes in image-based risk scores can identify patients predisposed to the disease years before diagnosis, new research shows.
Longitudinal changes in image-based risk scores can identify patients predisposed to the disease years before diagnosis, new research shows.
New FDA clearances authorize the use of an AI tool to detect lung nodules and help triage pneumothorax and pleural effusion on chest X-rays.
A study published in Nature Medicine shows that Swedish researchers developed AI models that outperformed human experts in detecting ovarian cancer from ultrasound images, offering improved diagnostic accuracy and reduced need for expert referrals.
A Hong Kong-based team has developed the Co-Plane Attention across MRI Sequences deep learning model to classify 12 knee abnormalities from multi-sequence MRI, improving diagnostic accuracy, efficiency, and aligning with clinical standards while bridging expertise gaps in radiology.
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.
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.