ChestView AI enhances the detection of urgent findings like pneumothorax, pleural effusion, and consolidation, as well as early cancer indicators such as nodules, and mediastinal mass

ChestView

ChestView AI enhances the detection of urgent findings like pneumothorax, pleural effusion, and consolidation, as well as early cancer indicators such as nodules, and mediastinal mass. Co-developed with AP-HP and grounded on a robust database partly cross-referenced with CT-scan, it is now widely used in private and public facilities worldwide.

Better Patient Care

Enhance the quality of care by minimizing overlooked anomalies; our study has shown a notable increase in sensitivity for all abnormalities.

Improving workflow

Over 70% of Chest X-rays are labeled as normal. ChestView accelerates prioritization with a unique design that merges vital findings and high sensitivity, assisting in patient triage.

Over 70% of Chest X-rays are labeled as normal. ChestView accelerates prioritization with a unique design that merges vital findings and high sensitivity, assisting in patient triage.

Empowering readers

Reading Chest X-rays is challenging for all readers. ChestView aids by cutting down reading time and aims to serve as a copilot, bolstering their decision-making process.

Enhance the quality of care by minimizing overlooked anomalies; our study has shown a notable increase in sensitivity for all abnormalities.
Reading Chest X-rays is challenging for all readers. ChestView aids by cutting down reading time and aims to serve as a copilot, bolstering their decision-making process.

MARIE-PIERRE REVEL, HEAD OF RADIOLOGY DEPARTMENT, HôPITAL COCHIN AP-HP, PARIS, FRANCE

“CXR is the 1st line exam for multiple indications, however, CXR reading is particularly difficult. AI has the ability to detect subtle findings that require urgent management or that can highly impact patient prognosis, including signs of cancer, increasing the performance of radiologists.”

MARIE-PIERRE REVEL, HEAD OF RADIOLOGY DEPARTMENT, HôPITAL COCHIN AP-HP, PARIS, FRANCE
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