DeepTek CXR Analyzer

by DeepTek  · Based in India → — Making quality radiology services more affordable and accessible by leveraging the power of AI.
Cardiology Pulmonology Radiology

Global access pricing available for eligible public sector and not-for-profit healthcare providers in 138 low- and middle-income countries, offering unlimited ai analyses per connected x-ray unit, installation, user training, product updates, maintenance, and technical support via an annual subscription.
Regulatory Status Disclosed

Overview

DeepTek CXR Analyzer is a revolutionary, US FDA-cleared computer-assisted detection (CADe) software device designed to assist radiologists in interpreting adult frontal chest radiographs. Leveraging advanced deep learning algorithms, the tool automatically identifies, categorizes, and highlights suspicious regions of interest (ROIs) across a broad range of lung, pleural, and cardiac pathologies, as well as foreign bodies or hardware on the chest.

This innovative AI solution aims to significantly reduce radiologist workload by an impressive 30-50% and boost productivity by 2x to 3x, streamlining the diagnostic workflow. It integrates seamlessly with existing Picture Archiving and Communication Systems (PACS) using DICOM format, operating either on-premise or in the cloud without disrupting current workflows. The CXR Analyzer is compatible with various X-ray machines, including hospital-based, mobile, portable, handheld, and ultra-portable units, making it a versatile and powerful tool for diverse healthcare settings.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-Powered Computer-Assisted Detection (CADe) for Chest X-rays
  • Detection of 28 findings covering lung, pleural, cardiac pathologies, and hardware
  • Automatic identification, categorization, and highlighting of suspicious regions of interest (ROIs)
  • Seamless DICOM-based PACS integration (on-premise or cloud)
  • Intelligent segregation of scans into 'AI Finding-Negative' and 'AI Finding-Positive'
  • Reduces radiologist workload by 30-50% and boosts productivity by 2x-3x
  • Generates secondary capture DICOM with AI output for easy interpretation
  • Compatible with various X-ray modalities (hospital, mobile, portable, handheld)
  • Smart reporting features and worklist prioritization
  • WHO-recommended for TB screening (DeepTek's CXR AI solution)

Use Cases

  • Assisting radiologists in interpreting chest X-rays
  • Automating radiology workflow and triaging cases
  • Early detection and diagnosis of lung infections, cancer, and chronic lung diseases
  • Large-scale tuberculosis (TB) screening programs
  • Reducing diagnostic turnaround time and improving reporting efficiency
  • Enhancing diagnostic accuracy in routine lung screenings and public health initiatives

What Physicians Need to Know

Cardiac Region Analysis
DeepTek CXR Analyzer is a US FDA-approved computer-assisted detection (CADe) solution that assists radiologists in identifying suspicious regions of interest (ROIs) in chest radiographs, covering the cardiac region along with lungs, pleura, tubes, chest leads, and pacemakers.
Cardiomegaly Detection
The AI model can automatically calculate the cardiothoracic ratio (CTR) from chest X-rays, which is an indicator of cardiomegaly. When assisted by the AI-generated CTR, the sensitivity of reviewing radiologists in detecting cardiomegaly increased from 40.50% to 88.4%.
Heart Failure Risk Prediction
Deep learning models using chest radiographs can predict survival in patients with heart failure with acceptable accuracy. A deep learning model can also predict the 10-year risk of death from a heart attack or stroke using a single chest X-ray.
Coronary Artery Assessment
Deep learning is being explored to identify calcifications in the coronary arteries from chest X-rays, which could help reduce cardiovascular risk.
Real-Time Alert Capability
The Augmento platform, which integrates with CXR Analyzer, includes a smart notification system that updates and alerts healthcare professionals and patients.
AI Triaging and Inferencing
The CXR Analyzer uses AI-powered analysis to triage scans in the backend, categorizing outputs into AI-negative or AI-positive findings.
Detection Performance (Cardiac)
In standalone performance assessments, the DeepTek CXR Analyzer demonstrated an AUROC of 0.978 (0.968-0.985) for cardiac ROI detection. The sensitivity for cardiac ROI detection was 0.924 (0.890-0.952) and specificity was 0.930 (0.925-0.941).
Physician Tip

Leverage the AI-powered triaging to prioritize critical chest X-ray studies, focusing on cases flagged as AI-positive for cardiac abnormalities. Utilize the automated cardiothoracic ratio (CTR) calculation to aid in the early diagnosis of cardiomegaly and associated conditions. While the tool highlights suspicious regions, always perform a thorough review and correlate findings with the patient's clinical history for a comprehensive diagnosis. The system's ability to detect hardware like pacemakers can be useful in post-procedural checks. Remember that the CXR Analyzer is a CADe solution designed to assist, not replace, radiologist interpretation.

DeepTek CXR Analyzer integrates seamlessly with existing PACS (Picture Archiving and Communication Systems) and operates in the background (on-premise or cloud-based) without altering current workflows. DICOM images are transmitted to the CXR Analyzer, and the AI output, with findings highlighted by colored bounding boxes, is sent back to the PACS as a secondary capture. It is also available on platforms like the Blackford Platform, which offers access to a portfolio of AI-driven solutions. The Augmento platform, DeepTek's radiology workflow optimization solution, further enhances this by providing AI orchestration, structured reporting, and smart notification systems.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Global access pricing available for eligible public sector and not-for-profit healthcare providers in 138 low- and middle-income countries, offering unlimited ai analyses per connected x-ray unit, installation, user training, product updates, maintenance, and technical support via an annual subscription.
DeploymentOn-premise and Cloud offerings. The solution supports online, offline, and hybrid deployment.
Data ExportUnknown
TrainingUnknown
Compliance
BAA AvailableUnknown
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Pulmonology, Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

DeepTek CXR Analyzer is an AI-powered computer-assisted detection (CADe) software designed to help radiologists identify suspicious regions of interest in chest X-rays, including lung, pleural, cardiac pathologies, and hardware. It has received US FDA clearance and EU CE MDR certification, and is recommended by the WHO for tuberculosis screening. The solution aims to improve diagnostic efficiency, reduce radiologist workload, and increase access to quality care, particularly in regions with a shortage of radiologists.

Overall: Positive

Strengths

  • Reduces radiologist workload by an impressive 30-50%.
  • Accelerates decision-making by swiftly identifying and locating suspicious lesions.
  • Covers a broad range of lung, pleural, cardiac pathologies, and foreign bodies/hardware, unlike traditional point AI solutions.
  • Compatible with various X-ray machines, including hospital-based, mobile, portable, hand-held, and ultra-portable units, making it versatile.
  • Functions in low-resource environments and can deliver results in under a minute, even offline, with data syncing to the cloud when available.
  • Demonstrated high performance in detecting and localizing suspicious ROIs, with improvements in reader performance when aided by the analyzer.

Limitations

  • It is an adjunct tool and does not replace the role of radiologists; the CAD-generated output should not be used as the primary interpretation.
  • Not designed to detect conditions other than those classified under Lung, Cardiac, Pleura, and Hardware.
  • Radiologists should review original images for all suspected ROIs.
  • Some Reddit discussions suggest that the TB screening market might be saturated with AI solutions.
  • Generalizability across different geographies may require further research.
  • AI models, including those from DeepTek, have shown limitations in consistently detecting deepfake X-rays.

Based on reviews from: DeepTek.ai, accessdata.fda.gov, ThePrint, YesPress, Express Healthcare, AuntMinnie, Imaging Technology News, Reddit, PMC, DOTmed, Companies.sg

Last updated: 2026-10-26

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Press & Coverage

Imaging Technology News
DeepTek.ai secures US FDA clearance for its groundbreaking Chest X-ray AI solution
DeepTek.ai received U.S. FDA clearance for its Chest X-ray AI solution, CXR Analyzer, in October 2023. This AI-powered tool uses deep learning to detect, categorize, and highlight abnormalities in chest X-rays, aiming to reduce radiologist workload by 30-50%.
2023-10
DeepTek.ai Newsroom
DeepTek's Chest X-ray AI Solution Receives CE MDR Class IIb Certification
DeepTek's Chest X-ray AI Solution has received CE MDR Class IIb Certification, signifying its compliance with European medical device regulations. This certification allows the solution to be marketed and used in the European Union.
2025-04
Blackford
Blackford and DeepTek Partner to Enhance Chest X-ray Analysis with DeepTek CXR Analyzer
Blackford and DeepTek announced a commercial partnership to integrate DeepTek CXR Analyzer into the Blackford Platform. This collaboration aims to provide healthcare professionals with enhanced tools for more accurate and efficient chest X-ray analysis.
2024-11
DeepTek.ai Newsroom
DeepTek AI Solution Gains WHO Recommendation in Global Fight Against TB
DeepTek's Chest X-ray AI solution has received a significant recommendation from the World Health Organization (WHO) for its use in TB screening. The WHO's policy guidance recognized the solution as meeting performance standards for Computer-Aided Detection (CAD) software.
unknown
DeepTek.ai Newsroom
DeepTek Announces Strategic Partnership with Stemz Global to Transform Healthcare through AI
DeepTek has partnered with Stemz Global, including a strategic equity investment, to integrate AI-driven solutions and enhance medical diagnostics and healthcare delivery across the Middle East and Asia. This collaboration aims to optimize patient care and expand telemedicine capabilities.
unknown
DeepTek.ai Newsroom
DeepTek.ai Appoints Marcus McLemore to Lead U.S. Teleradiology Expansion
DeepTek.ai has appointed Marcus McLemore as President of its U.S. Teleradiology Business to lead its expansion in North America. The company plans to introduce its Agentic AI-powered Radiology Workflow Platform to address surging imaging volumes and radiologist shortages in the U.S.
unknown
PMC (PubMed Central)
Applications of AI/ML in accelerating the development of pulmonary drug delivery system
This review article mentions DeepTek CXR Analyzer v1.0 as an FDA-approved AI/ML-based medical device for detecting suspicious lesions in the chest region from CXR images. It highlights the role of AI in respiratory disease detection and diagnostics.
2023-10
The Tribune
DeepTek.ai Wins IndiaAI-NCG CATCH Grant 2026; Augmento to Be Deployed at Tata Memorial Hospital
DeepTek has been recognized as a winner of the IndiaAI-NCG Cancer AI & Technology Challenge (CATCH) Grant Awards 2026 for its Augmento - Radiology AI Deployment Platform. This platform is designed for structured AI integration and workflow coordination in radiology departments.
2026-03

Videos

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Frequently Asked Questions

DeepTek CXR Analyzer integrates seamlessly with existing PACS systems, operating in the background to analyze chest X-ray DICOM images. It uses deep learning to identify, categorize, and highlight suspicious regions of interest across lung, pleural, cardiac pathologies, and foreign bodies/hardware, acting as a concurrent reading aid for radiologists. This can accelerate decision-making and potentially reduce radiologist workload by 30-50%.
DeepTek CXR Analyzer has received US FDA 510(k) clearance, CE Mark as a Class IIb medical device, and approvals from several other international health authorities including Singapore HSA and Malaysia MDA. It also adheres to global security and privacy standards, being HIPAA and GDPR compliant, and ISO 27001 certified.
The CXR Analyzer is intended as a concurrent reading aid and does not replace a radiologist's primary interpretation; physicians must review original images for all suspected ROIs. It is primarily indicated for adults and transitional adolescents, though newer versions also support pediatric chest X-rays for certain conditions, and its performance can vary with different radiography systems. It is not designed to detect conditions other than those classified under Lung, Cardiac, Pleura, and Hardware.
Several other AI solutions offer chest X-ray analysis, including Lunit INSIGHT CXR, Annalise.ai Enterprise CXR, and Rayscape CXR. These alternatives often provide similar functionalities like pathology detection, triage, and workflow enhancement, though their specific features and regulatory clearances may vary. Other solutions like Aidoc and AZmed Rayvolve also operate in the medical imaging AI space.
Specific pricing details for DeepTek CXR Analyzer are not publicly disclosed, as is common for enterprise-level healthcare AI solutions. Pricing models typically involve subscriptions or licensing agreements tailored to the size and specific needs of the healthcare institution. Interested parties usually need to contact DeepTek directly for a customized quote and further information.
The standalone AI has demonstrated an aggregate AUROC of 91.2% and a sensitivity of 88.4% for detecting suspicious ROIs in lung, pleural, and cardiac regions across different hospital datasets. Studies indicate that AI assistance can significantly improve radiologists' average sensitivity and AUROC, with the analyzer outperforming unaided human readers in detecting suspicious ROIs.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-20 | First Added: 2026-04-20
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