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Category: AI Healthcare

What Is DICOM: Understanding Image Exchange in Radiology

Posted in AI Healthcare Last Updated | September 4, 2025What is DICOM in radiology? DICOM or Digital Imaging and Communications in Medicine is an international standard that specifies how medical images are produced, transmitted, stored, and displayed. This ensures seamless interoperability between different devices like scanners, servers, workstations, printers, PACS, etc. Before its widespread adoption, […]

AI in Radiology: Complete Guide on Use Cases, Benefits & More

Posted in AI Healthcare Last Updated | September 3, 2025Artificial intelligence is changing how radiologists look at, read, and evaluate diagnostic images like X-rays, MRIs, and CT scans. AI in radiology offers a striking precision while analyzing large volumes of imaging data that the human eye may miss. Rather than replacing radiologists, AI augments human […]

DAX Copilot vs. Dragon Copilot: Differences Explained

Posted in AI Healthcare Last Updated | May 9, 2025Clinician burnout and documentation overload are two of the most pressing issues in healthcare. Microsoft has developed two distinct AI-powered solutions: DAX Copilot and Dragon Copilot, designed to streamline clinical workflows. Although they might look similar on the surface, they serve different purposes. Microsoft DAX Copilot […]

Computer Vision in Healthcare: Benefits, Challenges & Applications

Posted in AI Healthcare Last Updated | January 24, 2025Computer vision was once a futuristic concept, but not anymore! It has taken over the healthcare industry, yielding many benefits. Early disease detection, diagnostic accuracy, and minimally invasive surgeries are just a few examples of computer vision in healthcare. This journey began with the early exploration […]