ChestEye Quality

AI-powered analysis of Chest X-Rays for specialized clinical care and interventional pulmonology, providing quantitative support for diagnosis and follow-up examinations.

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Overview

Oxipit ChestEye Quality uses AI as a ‘second reader’. The application analyzes CXR medical images and corresponding radiologist reports to spot missed clinically significant findings.
 
When the application detects a clinically significant finding not present in the radiologist report, it automatically sends an email notification to the reporting radiologist to take another look. The message includes a link to the study, indicates the suspected missed finding, and localizes it in the medical image.

 

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Features

  • Chest X-ray image study analysis.
  • Radiologist report analysis.
  • Comparison of the radiologist report with ChestEye™ Quality findings on study.
  • Can operate in a fully automated or in an assisted setting. In the assisted mode, the findings detected by ChestEye Quality are validated by the radiologist prior to submitting them to the medical institution.

Benefits

ChestEye Quality aims to:

  • Reduce the number of missed clinically significant CXR findings.
  • Operate as an always-on ‘safety net’ for reporting errors, assisting radiologists in real-time.
  • Improve the detection of subtle secondary findings (esp. subtle pulmonary nodules), and the detection of lung cancer at an earlier stage.

Image examples

ChestEye output
ChestEye outout 2

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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