ChestLink

ChestLink

Developed byOxipit

What is ChestLink?

AI based software that detects normal studies with radiologist level sensitivity and highlights abnormal findings.

About the Algorithm

DETAILS
Enhancing Accuracy and Efficiency with ChestLink

ChestLink identifies chest X-rays with no abnormality and produces finalized patient reports without any intervention from the radiologist. ChestEye provides preliminary suggestions / CAD (image in, findings with locations out) for 75 most common chest X-ray radiological findings. It enables the user to save time, increase accuracy (eg decrease overlooked secondary findings), optimize screening / triage, and introduce best reporting practices.

The benefits

  • Efficiency: Automated worklist reduction by handling confidently normal chest X-ray studies.
  • Accuracy: Enhances detection of subtle chest X-ray radiological findings, reducing the chances of overlooked secondary findings.
  • Prioritization: Enables quick triage of studies highlighting acute and severe findings.

Key feautures

  • Superior Sensitivity: Identifies confidently normal chest X-ray studies at a sensitivity level surpassing radiologists.
  • Abnormality Detection: Quickly spot and highlight abnormalities in chest X-rays.
  • Triage Functionality: Prioritize and categorize X-rays based on their findings for efficient analysis.

Body Part

Targets any abnormality detectable in a chest X-ray study, focusing primarily on the chest region.

Suggested use

Ideal for processing all performed adult chest X-ray studies, enhancing both accuracy and efficiency in reporting and analysis.

Data characteristics

  • Population – adults (any)
  • Input – chest X-ray images
  • Input format – DICOM
  • Output – ChestLink – normal reports for confidently normal studies; ChestEye – labels and contours for detected abnormal findings
  • Output format – DICOM SR
  • Processing time – 40-50 seconds
Review

After reviewing the cases described by radiologists and AI, I was very surprised that Oxipit was able to spot and mark pathological cases that were unfortunately missed. The diagnosis of granulomas, small nodules, and small infiltrations looks particularly good. I think this product would significantly help radiologists spot more subtle cases.

Review

After reviewing the cases described by radiologists and AI, I was very surprised that Oxipit was able to spot and mark pathological cases that were unfortunately missed. The diagnosis of granulomas, small nodules, and small infiltrations looks particularly good. I think this product would significantly help radiologists spot more subtle cases.

Tomas Budrys Head of radiology department in Kaunas city polyclinic (Kaunas, Lithuania)
OUR PARTNERS

Developed by

  • linkedian

Oxipit is a leader in the development of AI tools tailored for global medical imaging, with a commitment to enhancing patient outcomes using state-of-the-art AI and Machine Learning technologies. The company is recognized for innovations like ChestEye, with numerous accolades and certifications from international entities. Boasting a team of experts from diverse fields, including a Kaggle grandmaster, Oxipit combines expertise in data science, deep learning, and medicine. The company's name, "Oxipit," is inspired by the Occipital lobe, underscoring its focus on visual perception in medical diagnostics.

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