AI and deep learning help power clinical productivity

Canon Medical’s Automation Platform utilises deep learning technology to provide valuable clinical applications in a zero-click workflow. These technologies process and deliver images for accurate triage, worklist prioritisation and treatment decisions, streamlining workflows by automating post processing of images directly from the scanner and automatically exporting results in a format ready for interpretation by the care team.

To aid clinicians in making quick and informed treatment decisions, the automated post-processing findings are consolidated into Insights Results, which are immediately sent out to the relevant care team to help clinicians make the right choice at the right time for their patients. The Insights Results including images are simultaneously routed for clinical diagnostic review within PACS, while Insights Results containing the same content is sent as a notification to the care team, alerting them that a case is pending review.

Canon Medical UK HCIT modality manager Aurora Jenkins commented: “There’s no doubt, AI has the potential to support clinical teams through improved clinical workflows and increased productivity. For example, the Automation Platform analyses CT brain images automatically as soon as a scan is completed. It detects multiple variations of intra-cranial haemorrhage when time is of the essence and delivers scoring of early ischaemic stroke signs, which are routinely challenging to detect.”

Picture: Canon Medical Automation Platform integrates a comprehensive set of stroke applications: non-contrast CT intracranial haemorrhage (CINA-ICH), ASPECTS (CINA-ASPECTS), CT large vessel occlusion (CINA-LVO), and CT brain perfusion maps.

See the full report on page 20 of the August 2023 issue of RAD Magazine.

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