![]() Interviews, B-roll and images available here. The international iAwards will be held in December 2023.Ībove left: A sample of scanned digital pathology images from SNP. The technology has won the Business and Industry Solution category at both the Queensland and Australian iAwards, which recognise innovation. This research is supported by SNP, two Australian Research Council projects, and an Advance Queensland Fellowship from the Queensland Government. “It’s exciting to see the advancement of a project that promises to have a transformative impact on better health outcomes,” Dr Moss said. “This greatly increases image quality and reduces file size.”ĬEO of UQ commercialisation company UniQuest, Dr Dean Moss, said the technology demonstrated the benefits of industry collaboration with innovative researchers. “Our active scanner knows what it is scanning and where it should scan, using image analysis and artificial intelligence. “This had meant microscopy for diagnosing from tissue, blood and other specimen types was unable to be automated until now. “Digital pathology images are often thousands of times larger than typical digital photos,” he said. Professor Lovell said there had previously been major problems with obtaining sharp, in-focus images with no human intervention. “This is the most significant change in the performance of morphological tests for decades.” “Our scientists now use a digitised image often with associated AI instead of being tied to a microscope for many hours.” “SNP laboratories in Brisbane are already using the system to improve the speed and accuracy of diagnoses,” Dr Harrison said. SNP Chief Executive Officer Dr Michael Harrison said the technology is a game changer in many areas of healthcare. “The system also provides the ability to obtain second opinions via telepathology and dramatically improves record keeping and access of historical records, as the glass slides are no longer needed to be archived for years.” “At times the system can increase the productivity of pathologists and scientists by factors of 10 or more. “This digital pathology technology processes thousands of tests a day and has been accredited by the National Association of Testing Authorities (NATA),” Professor Lovell said. UQ Professor of AI Brian Lovell said the system significantly improved tests in terms of cost, quality and speed. The University of Queensland and Sullivan Nicolaides Pathology (SNP) have automated a microscope scanning and analysis system in Brisbane that has been tested, implemented and accredited ready for rollout around the world. ![]() ![]() Patients will receive faster and more accurate pathology results following a decade-long research project that is set to transform medical diagnosis.
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