Category: AI Healthcare

Posted in AI Healthcare Last Updated | October 10, 2025Rising infertility rates have increased clinical workload and pressure on radiology services in OBGYN departments. Clinical workloads are expanding, more complex imaging studies are required, and patient expectations for digital access have become the norm. In fact, many hospital OBGYN radiology divisions now perform approximately 20,000 […]

Posted in AI Healthcare Last Updated | October 9, 2025Radiologists do not have to wait for image transfers or chase missing reports anymore with PACS EMR integration. It connects imaging systems and patient records that support data to move automatically and securely between departments. By using standards like DICOM and HL7, it connects radiology and […]

Posted in AI Healthcare Last Updated | October 1, 2025Personalized medicine is no longer a far-fetched idea but a reality in everyday healthcare. Doctors are using new tools to develop treatment regimens and devices for the needs of individual patients rather than relying on standard options. 3D printing in healthcare has become one of the […]

Posted in AI Healthcare Last Updated | September 18, 2025Bringing a new medicine to market is a long and costly process, often stretching over a decade and requiring billions of dollars in investment. Despite these efforts, more than 90% of potential options never make it past development. This high rate of failure shows the need […]

Posted in AI Healthcare Last Updated | October 14, 2025Medical imaging teams are finding ways to do more with less, delivering faster turnaround times, keeping up with growing data volumes, and meeting stricter compliance requirements. The best DICOM viewer plays a critical role in addressing these demands; some deliver excellent visualization, others prioritize speed, but […]

Posted in AI Healthcare Last Updated | October 14, 2025Timely imaging and accurate diagnoses are critical in the field of injury management, but still, this sector often suffers from delays due to traditional, fragmented systems. To address this, Picture Archiving and Communication Systems (PACS) transformed medical imaging by creating a secure digital workflow that reduces […]

Posted in AI Healthcare Last Updated | October 14, 2025Almost all healthcare organizations suffer from the same issue: slow workflows that delay imaging reports and systems that don’t sync well together. These problems often boil down to a lack of clarity between two tools: PACS and RIS. They are often mentioned together, but serve very […]

Posted in AI Healthcare Last Updated | October 14, 2025From USD 3.1B today to USD 4.9B within the next decade, the specialty PACS market is expanding exponentially, reflecting an increased demand for swift medical imaging processes. Rising imaging volumes, stricter compliance requirements, and the constant need for faster, more accurate diagnoses are the need of […]

Posted in AI Healthcare Last Updated | October 14, 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, […]

Posted in AI Healthcare Last Updated | October 14, 2025Medical hyperspectral imaging, or HSI for short, allows clinicians to see what standard cameras and the human eye cannot. Instead of just capturing static images, HSI records hundreds of light wavelengths, producing a detailed “spectral fingerprint” of tissue. This lets doctors detect early disease changes, guide […]