A new artificial intelligence-based technology aims to revolutionize the planning of brain radiation therapy and enhance treatment outcomes for children...
Researchers evaluating the performance of ChatGPT-4 Vision found that the model performed well on text-based radiology exam questions but struggled to answer image-related questions accurately.
Compounds containing astatine-211 (211At) can be used in targeted radiotherapies for prostate cancer, but deastatination in the body remains a significant hurdle.
Engineers are utilizing metamaterials—structures crafted from common materials like copper, fabric, and plastic designed to control electromagnetic waves and radio...
A multi-university research team co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy.
A new editorial was published in Oncotarget's Volume 15 on August 26, 2024, entitled, "Artificial intelligence: A transformative tool in precision oncology."
A sophisticated platform uses histotripsy to deliver precision-targeted, pulsed sound energy into the body without any incisions or needles, destroying...
A new artificial intelligence-based algorithm uses deep learning to analyze multiple mammogram views concurrently, simulating the evaluation process of radiologists.
People with multiple sclerosis (MS) are far less likely than those without the condition to have the molecular hallmarks of Alzheimer's disease, according to new research from Washington University School of Medicine in St. Louis.
Researchers have successfully utilized deep learning to significantly improve the accuracy of magnetic resonance elastography scans for visualizing liver stiffness,...
A new study examining older Black Americans' perceptions of Alzheimer's disease has found a lack of awareness of the devastating condition. The authors propose strategies for supporting brain health in this population.
A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a study published today in Radiology, a...
A new paper highlights the need for responsible and sustainable use of AI in healthcare to mitigate its environmental impact, especially concerning its high carbon footprint. It offers recommendations for reducing energy consumption and...
Lung cancer remains the leading cause of cancer-related deaths worldwide. Detecting this disease in its early stages significantly improves survival rates, making low-dose CT screening an essential component in the fight against lung...
A novel imaging technique has been developed to non-invasively detect inflammatory bowel disease and provide real-time imagery of active inflammation...