Bionic Vision analyzes chest X-rays in 10-20 seconds, detecting 74 pathologies with 0.93 F1 accuracy. Every finding is validated by board-certified radiologists. Backed by peer-reviewed research on arXiv.
Study arrives from any PACS. Bionic Vision processes standard DICOM formats from any modality manufacturer.
Deep learning models trained on 3B+ images analyze the study in 10-20 seconds, flagging all detected abnormalities with confidence scores.
Board-certified radiologists review AI findings, confirm or modify detections, and sign the final report. Human-in-the-loop ensures clinical accuracy.
Final report delivered in 30 minutes average turnaround (vs 24-48 hour industry standard). Critical findings escalated immediately.
Bionic Vision identifies 74 pathologies across chest X-rays. Below are common categories:
Our chest X-ray AI is backed by published research. These papers detail methodology, validation studies, and clinical outcomes.
Multi-site study evaluating autonomous AI for detecting multiple pathologies in chest X-rays across the Indian healthcare system.
Multimodal approach combining chest X-ray imaging with clinical data for enhanced TB detection.
Precision analysis framework for chronic TB cases using advanced vision-language techniques.
AI flags critical findings (pneumothorax, large effusions) in seconds, enabling rapid prioritization of emergency cases.
High-volume TB screening with vision-language models that combine imaging with clinical data for improved detection.
Daily portable X-rays analyzed for tube malposition, new infiltrates, and developing complications before clinical signs appear.
AI-native teleradiology brings specialist-level reads to facilities without on-site radiologists. 30-minute turnaround regardless of location.
Join 1,500+ healthcare facilities using 5C Network for AI-powered radiology. 30-minute turnaround, 74 pathologies detected, backed by research.
