Tuberculosis Diagnosis

AI Tuberculosis Microscopy Scanning

AI-Powered Tuberculosis Detection

Tuberculosis (TB) remains one of the world's leading infectious killers, claiming approximately 1.6 million lives annually. TB-AI transforms diagnosis using artificial intelligence to analyze microscope slide images captured with any smartphone camera.

Our platform automates smear microscopy — the most widely used TB diagnostic in resource-limited settings — eliminating human error, reducing time-to-result, and delivering consistent, clinical-grade accuracy.

97%
Diagnostic Accuracy
< 3 Min
Time-to-Result
Offline
Capabilities

How It Works

A simple five-step process that brings expert diagnostic capabilities directly onto the laboratory bench.

  • 1

    Prepare the Sputum Smear

    Laboratory technicians prepare and stain the microscope slide using the standard Ziehl-Neelsen (ZN) staining protocol.

  • 2

    Capture with Smartphone

    Hold your smartphone camera over the microscope eyepiece. The TB-AI mobile app guides optimal focus and image capture.

  • 3

    Upload to TB-AI Platform

    The captured high-resolution image is securely uploaded to our cloud AI server via active cellular networks or local Wi-Fi.

  • 4

    AI Analysis

    Our deep learning convolutional neural network analyzes the slide, detecting and counting acid-fast bacilli (AFB) with expert precision.

  • 5

    Receive Report

    A detailed diagnostic PDF report is generated in under 3 minutes, automatically graded by TB burden (scanty, 1+, 2+, 3+).

Key System Benefits

Rapid Results

Reduces manual slide evaluation time from 20+ minutes to less than 3 minutes, accelerating clinical triage.

97% Accuracy

Formally validated against the clinical GeneXpert reference standards, ensuring peerless diagnostic consistency.

Cost-Effective

Over 10× cheaper per slide test than traditional PCR cartridge-based methods, lowering barrier to healthcare.

Specifications

Detection MethodAI-powered smear microscopy (ZN stain)
Sensitivity≥ 97%
Specificity≥ 96%
Time-to-Result< 3 minutes per slide
Device RequirementsAny Android/iOS smartphone with camera
ConnectivityInternet or local Wi-Fi
Report FormatPDF + digital dashboard
RegulatoryValidated against WHO-endorsed protocols
"Integrating TB-AI into our diagnostic workflow cut laboratory turnaround times in half. Sputum slide checks that used to bottleneck our technicians during high patient volumes are now processed in a fraction of the time with absolute consistency."
— Lead Microbiologist, Greenstar Clinical Labs

Bring AI Diagnostics to Your Lab

Request an on-site demonstration or schedule a consultation with our technology team to configure integrations.

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