First of its kind CADe CXR AI Solution

Why CXR Analyzer?

DeepTek CXR Analyzer is a first-of-its-kind US FDA-approved computer-assisted detection (CADe) solution developed to assist radiologists in identifying suspicious regions of interest (ROIs) in chest radiographs.

Covers the lung, pleura, and cardiac regions, along with hardware
Shows ROIs with bounding boxes of different colors
Augmento Cloud PACS powered by AI and Structured Reporting

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Research Papers
Workflow

How It Works

Dr Amit Kharat, CEO and Co Founder - DeepTek.ai
Seamless Integration with PACS
  • CXR Analyzer integrates effortlessly with your existing PACS
  • It works at the backend (on-premise or cloud) without altering your current workflow
  • Following the Chest X-Ray scan, the DICOM images are transmitted to the CXR Analyzer.
Dr Amit Kharat, CEO and Co Founder - DeepTek.ai
AI Triaging and Inferencing
  • The CXR Analyzer utilizes AI-powered analysis to triage scans in the backend, categorizing outputs into AI-negative or AI-positive findings.
Dr Amit Kharat, CEO and Co Founder - DeepTek.ai
Automated Output to PACS
  • Output is sent back to the PACS in the form of a secondary capture
  • Findings are highlighted with colored bounding boxes for easy interpretation

2x Productivity Gain

Transform Your Radiology Workflow with DeepTek’s CXR Analyzer

Regulatory Approvals

US FDA Cleared

CE Mark

CDSCO Approved

Kenya Board Certified

Thai FDA Approved

MoH Indonesia Approved

HSA Approved

Our Research

Abstract Presentation at SGCR WIRES in Singapore

Abstract at SGCR WIRES 2022 - An Automated Deep Learning-Based Approach for Grading the Severity of Knee Joint Space Narrowing from Plain Radiographs

Abstract Presentation at SGCR WIRES in Singapore

Abstract at SGCR WIRES 2022 - A Deep-Learning Based Approach to Automatically Detect Pulmonary Embolism on Computed Tomographic Pulmonary Angiograms

Research publication on medical imaging AI

ARRS 2021 - Automated Convolutional Neural Network Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs in Indian Population.

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