Annalise Enterprise CXR
cleared for use in triage and notification of pneuomothorax
and tension pneuomothorax on chest X-rays.
please check the regulatory status with an annalise.ai employee.
Annalise Enterprise CXR Triage Pneumothorax uses deep learning to identify the suspected presence of a subset of pneumothorax findings. It’s designed to help radiologists with triage and notification of these clinical findings on chest X-ray, assisting clinicians in treating patients with the most critical conditions first.
“Annalise products were designed and built by radiologists, for radiologists, and were trained on some of the largest and most diverse imaging datasets on the planet.”
Rick Abramson, MD
Chief Medical Officer annalise.ai
Worklist prioritization. Designed to reduce time to action critical findings.
Annalise Enterprise CXR Triage Pneumothorax has received a 510(K) clearance from the U.S. Food and Drug Administration (FDA) for use in triage and notification of a subset of chest X-ray findings, allowing a clinical site to apply specific triaging rules for the more urgent cases.
The model analyzes studies as they’re acquired and supplies a notification of urgent cases in a site’s reporting worklist. With integration within PACS, RIS or Reporting Worklist systems, radiologists can more efficiently prioritize their work and report on the most urgent cases first.
Trained on one of the world’s largest labelled CXR datasets.
Unlike vendors who train AI algorithms on NLP-extracted labels from reports or labels generated by radiographers and medical graduates, annalise.ai created more than 280 million labels with fully-qualified radiologists.
148 consultant radiologists trained in Standardized labeling procedures to ensure a consistent and high-standard of labeling across all data-sets.
780,000+ CXR studies
3 radiologists from a pool of 148, who independently hand-labeled each CXR study.
280,000,000+ CXR labels.
the quality of Annalise Enterprise CXR Triage Pneumothorax