Xhealth AI — Live Walkthrough
A complete end-to-end walkthrough of the Xhealth platform: from X-ray upload to AI diagnosis, heatmap interpretation, and clinical reporting.
About this demo
This recording captures a live session of the Xhealth platform being used on de-identified chest X-rays sourced from a partner hospital. You will see the full diagnostic pipeline — from DICOM ingestion to AI classification, confidence scoring, and Grad-CAM heatmap overlay — exactly as a radiologist would experience it in a clinical environment.
Chapters
Introduction & Platform Overview
2 min
Uploading a Chest X-ray (DICOM & JPG)
1 min
Live AI Inference — Real-time Analysis
3 min
Reading Confidence Scores & Heatmaps
2 min
PACS / HIS Integration Walkthrough
2 min
Security, Compliance & Deployment Options
2 min
More to explore
Heatmap Visualisation Explained
How Grad-CAM highlights suspicious lung regions to guide radiologists.
Screening 500 Patients in 4 Hours
How a regional hospital cut TB screening time by 10x with Xhealth.
Connecting Xhealth to Your PACS
Step-by-step walkthrough of HL7 FHIR and DICOM WADO-RS integration.