ChestView CE0476

Your AI companion for lesions detection on Chest X-Rays

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1 .44

Billion

Chest X-Rays per year worldwide

16 %

Radiologists

performance to detect subtle abnormalities without clinical information

40 %

of lung nodules

> 2cm are not detected on Chest X-Rays

Clinically Validated

Radiologists need medical grade solutions they can trust.

CE mark Class IIA

Companioning imaging users

ChestView AI provides radiologists and clinicians with an instant and automatic 2nd reading of Chest X-Rays fully integrated in the reading workflow. It aims to drastically increase sensitivity to detect subtle abnormalities. One of the immediate benefits would be to detect potential signs of cancer much earlier.

Increasing sensitivity to detect critical findings

Marie-Pierre Revel, PU-PH à l’hôpital Cochin - Assistance publique - Hôpitaux de Paris (AP-HP), spécialisée en imagerie thoracique et membre de la Société d'imagerie thoracique

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

Already Trusted By

AI-powered workflow

ChestView is a Class IIa medical device manufactured by GLEAMER and whose conformity assessment has been carried out by the notified body KIWA CERMET 0476. It is intended to provide preliminary data for diagnosis on standard radiography. Please read the operating instructions carefully.

Instant findings for safer and faster interpretation

Use ChestView as a double check and avoid missing tiny lesions. ChestView detects pneumothorax, pleural effusion, alveolar syndrom, lung nodule, and mediastinal mass.

Smart worklist for triage and prioritization

Use ChestView to triage and prioritize interpretations. ChestView supports integration with RIS through HL7 capability.

Full workflow integration

ChestView integrates seamlessly with all IT infrastructures and communicates with the PACS to process appropriate examinations and display results in the user's usual environment.


Related Evidence

ChestView
  • Bennani et. al,
  • ECR 2022

Evaluation of radiologists’ performance compared to a deep learning algorithm for the detection of thoracic abnormalities on chest X-ray

Clinical Cases

Make up your mind and navigate among real-life examples

Detecting subtle pneumothorax

Indication
81 year-old male with suspicion of lung cancer. Chest X-Ray is prescribed 6 hours after lung biopsy before patient can be discharged.

Results with ChestView
Subtle pneumothorax caused by the biopsy detected by ChestView on top of two nodules, one being more discrete and hidden by a rib. Confirmed in CT.

Detecting signs of pneumopathy

Indication
56 year-old male with fever and cough since a week, active smoker, suspicion of pneumonia

Results with ChestView
ChestView detects an alveolar syndrom. Radiologist ordered the CT to differentiate between an alveolar pattern and a mass. CT confirms the alveolar pattern. After antibiotic treatment, follow-up CT was normal, showing that ChestView correctly classified the abnormality.

Detecting nodules earlier

Indication
63 year-old male, Chest X-Ray in 2017 for chronic cough reported as normal. Back in 2019.

Results with ChestView
ChestView detected several lesions in 2019, but could already see a lung nodule in 2017. In 2019, patient was diagnosed with metastatic lung cancer (no longer operable). 2 years earlier, the patient may have had better prognosis.

Interested in ChestView

Improve your workflow with an AI solution that you can trust

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