Harnessing the power of artificial intelligence (AI), researchers have unlocked the potential of whole-body magnetic resonance imaging (MRI) to predict health risks, paving the way for smarter, personalized prevention strategies. This breakthrough is highlighted in a recent study published in the
Earlier this week, the U.S. Food and Drug Administration (FDA) unveiled its much-anticipated final guidance on predetermined change control plans (PCCPs) for devices incorporating artificial intelligence and machine learning (AI/ML) software. This guidance signifies a significant milestone in the
The pharmaceutical industry faces significant challenges in managing the lifecycle of drugs, particularly in the area of drug safety monitoring. Traditional methods of processing safety cases are reliable but time-consuming and labor-intensive, often taking up to a week to complete. This process
Laboratory automation is transforming the healthcare sector by enhancing precision, efficiency, and scalability in diagnostic and research processes. As the need to reduce human error and improve accuracy grows, the demand for advanced technological solutions continues to rise. Additionally, an
The utilization of artificial intelligence (AI) in medical imaging is revolutionizing the way diseases are detected and diagnosed, providing groundbreaking opportunities to identify conditions beyond the primary purpose of the scans. A pioneering study led by researchers at NYU Langone Health has
The adoption of MONAI Deploy by Siemens Healthineers, as announced by NVIDIA at the Radiological Society of North America's annual meeting, marks a significant advancement in the integration of AI into medical imaging workflows. This initiative aims to bridge the gap between AI research and
