For an efficient AI-powered diagnostic workflow, it is crucial to ensure that pathology images and associated metadata are connected at the source
David Dimond | | Longer Read
If we are to unlock the true potential of the digital pathology workflow, then the creation and interoperability of metadata is essential. Attaching relevant data to medical images allows consultants to collaborate on diagnoses across time and from multiple locations – and will likely open the doors to future developments in AI-driven insights.
After attending a recent digital pathology event, I became excited about the interoperability commitments industry vendors are making. Breakthroughs from standards-based working groups, such as Digital Imaging and Communications in Medicine (DICOM) and the Integrated Healthcare Enterprise (IHE), along with updated guidance from the US Food and Drug Administration, have set the stage for a more sustainable and innovative approach to digital pathology.
The recent increase of activity in the DICOM standards community, for example, is a clear sign of progress. The first meeting of DICOM Working Group 26 (DICOM WG-26) took place in 2005, but the scope of their Connectathon interoperability demonstrations at this year’s Pathology Visions conference reached new levels.
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