Medical Imaging
Industry
Hospitals / Diagnostic Imaging
Engagement Type
AI-assisted imaging analytics
Scope
MRI, CT & X-ray — neuro, chest & musculoskeletal
Geography
India & Middle East
Project overview
Medical Imaging Early Diagnostic Support for Radiology Workflows
Challenge
Radiologists experienced high caseload fatigue.
Subtle abnormal findings were occasionally missed during late-shift reads.
Report turnaround time (TAT) SLAs were difficult to meet across facilities.
Our Approach
Integrated AI-based anomaly detection models into the PACS workflow.
Prioritized studies with probability of abnormality, enabling load balancing.
Added structured findings extraction to auto-populate sections of the radiology report.
Enabled comparison-view models that detect progression vs baseline scan.
Impact Delivered
Turnaround time improved by 38% for high-priority scans.
Second-read support reduced miss-risk for subtle findings by 27%.
Increased radiologist satisfaction and clinical throughput across network hospitals.