Philips announces digital pathology scanner with native DICOM JPEG XL output (www.philips.com)

🤖 AI Summary
Philips has expanded its SG300 and SG60 slide scanner line with the new Pathology Scanner SGi, offering configurable native DICOM JPEG and — notably — native DICOM JPEG XL output, the first such device in the world. By producing DICOM-compliant images at the scanner level, Philips replaces the fragmented proprietary file workflows that have dominated digital pathology and enables direct ingestion into standard PACS/archives and downstream tools. The technical significance is twofold: JPEG XL is a modern codec that Philips says yields up to 50% smaller DICOM files at equivalent image quality, cutting storage and bandwidth needs for labs handling rapidly growing whole-slide image volumes; and native DICOM output accelerates interoperability with AI/ML pipelines, centralized archiving, cross-modality diagnostics, and cloud or on-premise analytics. For the AI community this means more standardized, bandwidth-efficient datasets, easier model integration and deployment, and lower infrastructure costs — all of which can speed development and scaling of pathology AI applications.
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