Healthcare
Radiology Group Cuts Read Time 40% with AI-Assisted Diagnostics
Deploying AI-assisted imaging analysis on Azure that pre-screens and prioritizes radiology studies, accelerating reporting while improving consistency.
Solution
AI-Assisted Diagnostics
Industry
Healthcare & Life Sciences
Company Size
Project Overview
client
Diagnostic Imaging Group
industry
Healthcare & Life Sciences
solution
AI-Assisted Diagnostics
technologies
Azure Machine Learning, Azure AI Health Insights, Microsoft Fabric, Power BI, Microsoft Purview
duration
8 Months
region
MENA
The Challenge
Radiologist workload was rising faster than recruitment, with read times growing and clinician burnout becoming a serious concern.
- 1Rising study volumes outpacing radiologist recruitment
- 2Long read times affecting clinical care turnaround
- 3Inconsistent reading across radiologists for complex modalities
Our Solution
CloudGate deployed an AI-assisted radiology platform with pre-screening, prioritization, and a structured reporting copilot.
- AI pre-screening for emergent findings prioritization
- Computer vision models for chest, mammography, and CT modalities
- Structured reporting copilot accelerating report turnaround
The Results
-40%
READ TIME
Higher
DETECTION OF SUBTLE FINDINGS
Audit-ready
COMPLIANCE POSTURE
- Improved radiologist work-life balance while increasing throughput
Technologies Used
Azure Machine LearningAzure AI Health InsightsMicrosoft FabricPower BIMicrosoft Purview
