Project AIR, Radboudumc, Neijmegen, Netherlands

Annalise Enterprise CXR outperforms human readers on lung nodule detection in independent, controlled evaluation.

NHS Epsom St. Helier, Surrey, South West London, UK

Annalise Enterprise CXR supporting the radiology team in streamlining the lung cancer pathway.

Mass General Brigham, Boston, United States

A retrospective analysis of 1,000 CXRs from U.S. based Mass General Brigham’s network found our solution for notification and triage exceeded accuracy benchmarks (>0.95 AUC, >80% sensitivity and specificity) in detecting both pneumothorax and tension pneumothorax.

NHS Grampian, Scotland, UK

Annalise Enterprise CXR supporting the Acute Medicine team at NHS Grampian. Mitigating human errors and cognitive bias around the clock in a busy and crowded healthcare setting.

ECR 2023, Vienna, Austria

At ECR 2023, four AI medical imaging solutions for intracranial haemorrhage and infarct were put to the test. With zero context and six hours to deliver results, Annalise Enterprise CTB was the only algorithm to detect pathology correctly in all cases.

I-MED Radiology Network, Sydney, Australia

Learn how Annalise Enterprise CTB enhanced reporting speed and accuracy on non-contrast CT brain studies at I-TeleRAD, and why 90% of participating radiologists said they’d be disappointed if it was taken away.

St. Vincent’s Hospital, Melbourne, Australia

When a Perth man presented to an after-hours clinic following a blackout, default axial head CT images appeared unremarkable. Our solution detected a finding that necessitated further testing and could have escalated to become a neurosurgical emergency.

I-MED Radiology Network, Sydney, Australia

We needed to deliver a solution that gave fast, accurate results, that would also be scalable, easy to learn, and integrate with existing systems. Learn how we did it, and why 90% of participating radiologists said Annalise Enterprise CXR positively changed their CXR reporting.