Fast, accurate tumour analysis through AI & advanced statistical modelling

Manual tumour segmentation is slow, subjective, & inconsistent

Manual tumour segmentation is resource-intensive and variable, requiring significant clinician time and relying on subjective interpretation, which can result in inconsistency between reports and reduced standardisation across cases.

Increasing cancer caseloads are placing sustained pressure on radiology services, limiting capacity and contributing to delays in scan reporting and subsequent treatment planning.

NHS scan-reporting targets are routinely missed, highlighting ongoing challenges in meeting diagnostic timelines due to workforce constraints and rising demand.

 
 

ai.stat is a unique ‘tumour segmentation’ tool that combines AI-driven deep-learning with statistical contour modelling & uncertainty quantification

Help Radiologist create reports faster

Extract quantifiable measures to plan treatment regime

Quicker diagnosis, quicker treatment, huge savings for NHS

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