Skip to content

Medical AI for Chest Radiography

Precision in every image.
Insight in every reading.

TORAH Vision AI classifies 14 abnormal findings on high-resolution chest X-rays and visualizes the regions the AI attends to, supporting clinicians as they read.

TORAH VISION AI CHEST X-RAY DICOM
Grad-CAM ROI
14 Findings + No Finding Illustrative image
  • ISO 13485 Quality Management System
  • Digital Medical Device GMP
  • CES 2026 Innovation Awards Honoree

01Solution

TORAH Vision AI

From image upload to review. Finding classification, lesion localization and Grad-CAM visualization, delivered in a single analysis report.

TORAH Vision AI — Analysis Report
TORAH Vision AI
  1. 01

    Multi-finding analysis

    Classifies 14 abnormal findings and No Finding in a single pass.

  2. 02

    Visual explanation

    Bounding boxes and Grad-CAM heatmaps show where the AI focused, overlaid on the original image.

  3. 03

    Integrated report

    Per-finding scores and visualizations are combined into one report.

02Analysis Findings

14 abnormal chest findings

Covering the lung parenchyma, pleura, heart and great vessels — plus a separate No Finding class for normal studies.

  1. 01Aortic Enlargement
  2. 02Atelectasis
  3. 03Calcification
  4. 04Cardiomegaly
  5. 05Consolidation
  6. 06ILDInterstitial Lung Disease
  7. 07Infiltration
  8. 08Lung Opacity
  9. 09Nodule/MassNodule / Mass
  10. 10Other Lesion
  11. 11Pleural Effusion
  12. 12Pleural Thickening
  13. 13Pneumothorax
  14. 14Pulmonary Fibrosis
+1 No Finding View finding definitions
Findings
14 + 114 abnormal findings plus No Finding
Imaging
DICOMNative support for high-resolution medical images
Explainability
Grad-CAMVisualization of AI attention regions
Quality
ISO 13485Medical device quality management

03Workflow

From image input to results

A five-step analysis process delivers results ready for clinical review.

  1. STEP 01

    Image input

    Upload a chest X-ray in DICOM or another supported format.

  2. STEP 02

    Preprocessing

    The high-resolution image is normalized and prepared for analysis.

  3. STEP 03

    AI analysis

    The deep learning model analyzes the image and classifies findings.

  4. STEP 04

    Grad-CAM visualization

    Regions the AI attended to are rendered as a heatmap.

  5. STEP 05

    Review

    Review the report with per-finding scores and visualizations.

04Quality & Recognition

Built to international standards,
recognized worldwide

TORAH designs and manufactures its products under an ISO 13485 quality management system and Digital Medical Device GMP.

Contact

Let's talk about
medical AI for your institution

Product adoption, demo requests, clinical collaboration or international partnerships — our team responds within one business day.