DeepTek CXR Analyzer

Identification of suspicious regions of interest (ROIs) in the lungs, pleura, cardiac, and hardware.

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Overview

The AI application detects suspicious ROIs by analysing frontal chest radiographs using deep learning algorithms and provides relevant annotations to assist radiologists with their interpretations.

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Features

Detects suspicious regions of interest (ROIs) in frontal (AP/PA) Chest Radiographs and provides:

  • A bounding box surrounding the ROI
  • A category label representing the category of the ROI.
Any identified suspicious ROI will be assigned to one four categories: 
  • Lungs: such as TB, Fibrosis, Pneumonia, Edema, Nodules, Opacity
  • Pleura: such as Pneumothorax, Pleural thickening, Pleural calcification, Pleural effusion
  • Cardiac: such as Cardiomegaly, Pericardial Effusion
  • Hardware: such as sternal sutures, chest leads, pacemaker, implants, lines, tubes, spinal implants

Benefits

  • Classifies chest abnormalities in radiographs with high accuracy, potentially improving clinical workflows by enabling faster and more efficient diagnoses, and even outperforming human readers in some cases.¹
  • The device helps detect suspicious ROIs in Lungs, Pleura, Cardiac, and Hardware categories.
  • Reader performance in detecting and localizing suspicious ROIs in Lungs, Pleura, Cardiac, and Hardware regions, are likely to improve when aided by DeepTek CXR Analyzer.
  • Earlier detection of suspicious ROIs will allow earlier intervention, and increase diagnostic accuracy, thereby minimizing the risk of delayed diagnosis.
  • Reader performance in finalizing non-suspicious scans may improve when aided by DeepTek CXR Analyzer.

Image examples

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1. Ajmera P, Onkar P, Desai S, Pant R, Seth J, Gupte T, et al. Validation of a Deep Learning Model for Detecting Chest Pathologies from Digital Chest Radiographs. Diagnostics. 2023 Feb 2;13(3):557.