video1.0<iframe src="https://www.loom.com/embed/f133b1a892ae463eaed44a349e5bdba7" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/f133b1a892ae463eaed44a349e5bdba7-7f8ebc4b450a1a8d.gif278.628This Loom walks through a complete application for chest X-ray pneumonia prediction that also provides interpretability and a generated clinical report. The demo shows a web interface where users enter age and gender, upload an X-ray, and receive a pneumonia versus non-pneumonia prediction. It then visualizes model reasoning with a heat map over the lung area of concern and includes an AI summary and full clinical report with recommendations, with a fallback to generate the report if the AI connection drops. The system saves predictions, heat maps, and reports securely, runs as separate backend services in containers, and was trained on a smaller sample with full-scale accuracy benchmarking identified as the next step.