ChestView

Detects and localizes chest anomalies on X-rays.

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Overview

ChestView provides radiologists and clinicians with an automatic second reading of Chest X-Rays, integrated in the reading workflow.

It aims to increase sensitivity to detect subtle abnormalitiesand to detect potential signs of cancer earlier.

ChestView - gleamer_logo_full-color

Features

Detected anomalies:
  • Consolidation
  • Pneumothorax
  • Pleural effusion
  • Mediastinal mass
  • Nodules

Benefits

A clinical study of Gleamer ChestView showed:¹

  • Increased Sensitivity: AI assistance significantly improved the sensitivity of radiologists in detecting thoracic abnormalities, with an absolute increase in sensitivity across various conditions such as pneumothorax (26%), consolidation (14%), lung nodules (12%).
  • Reduced Reading Time: The use of Gleamer ChestView reduced the time required to interpret chest radiographs, with the mean reading time decreasing by 31%
  • Reduction in reading time were observed across radiologists with varying levels of expertise, including thoracic radiologists, general radiologists, and radiology residents.

Image examples

ChestView 1

To find out more about this solution or any of the other 140+ applications on the Blackford Platform, please book a discovery call with our team.

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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¹Bennani S, Nor-Eddine Regnard, Ventre J, Lassalle L, Nguyen T, Ducarouge A, et al. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs. Radiology. 2023 Dec 1;309(3).