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Saving lives with data by providing regulatory-grade safety and effectiveness data.

Transforming Radiology with AI-Powered Automated Diagnostics and Workflow Orchestration.

DeepTek is a leading medical AI company specializing in high-precision radiology workflow automation. Its core platform, Augmento, functions as an AI-orchestrated PACS (Picture Archiving and Communication System) that utilizes deep learning to analyze medical images in real-time. By 2026, DeepTek has positioned itself as a critical layer in clinical decision support, leveraging vision transformers and convolutional neural networks to detect over 30 pathologies across Chest X-Rays, CT scans, and MRIs. The technical architecture is designed for seamless integration with existing hospital Information Systems (HIS) and Radiology Information Systems (RIS), offering both cloud-native and edge-based deployment options. A significant differentiator in its 2026 market position is its focus on 'Explainable AI' (XAI), providing heatmaps and quantitative data that allow radiologists to validate AI findings instantly. Its solution suite, including the Genki TB screening tool, has been deployed globally in both public health screenings and high-volume private hospital networks to reduce radiologist burnout and minimize diagnostic turnaround times.
DeepTek is a leading medical AI company specializing in high-precision radiology workflow automation.
Explore all tools that specialize in abnormality detection. This domain focus ensures DeepTek delivers optimized results for this specific requirement.
Algorithms automatically flag critical findings (e.g., pneumothorax, intracranial hemorrhage) and move them to the top of the radiologist's worklist.
Deep learning model optimized for high-sensitivity Tuberculosis screening in low-resource settings.
Automated measurement of liver-to-spleen attenuation ratios for fatty liver diagnosis.
Web-based DICOM viewer with AI overlays that requires no local installation.
Natural Language Processing (NLP) converts visual AI findings into pre-filled medical reports.
Local server deployment that processes images on-site before syncing to the cloud.
A single interface that handles X-ray, CT, and MRI findings simultaneously.
Clinical requirements gathering and modality mapping.
Configuration of DICOM nodes for image routing to the DeepTek Edge Gateway.
Setup of secure VPN or HL7/FHIR tunnels for data transmission.
Integration of DeepTek Augmento with existing PACS/RIS systems.
User provisioning and Role-Based Access Control (RBAC) configuration.
AI Model selection and sensitivity/specificity threshold tuning.
Pilot phase execution using retrospective data for validation.
Radiologist training on the DeepTek Zero-Footprint viewer and reporting interface.
Go-live with real-time prospective clinical workflow.
Continuous monitoring and periodic model performance audits.
All Set
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Verified feedback from other users.
"Clinicians highly value the speed of triage and the accuracy of the TB screening module. Enterprise users praise the seamless PACS integration, though some mention the initial configuration of the edge gateway requires deep IT involvement."
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