Healthcare · Representative
AI-Powered Diagnostic Support System
Improving diagnostic accuracy with ML
The Challenge
A hospital network sought to reduce diagnostic errors and speed up radiology reporting. Manual processes caused delays and inconsistencies.
Our Solution
We developed an AI-assisted diagnostic platform that integrates with existing PACS. The system uses computer vision for initial triage, highlights regions of interest, and provides decision support—all within the clinician workflow.
Measurable Outcomes
35%
Reduction in report turnaround time
92%
Accuracy in preliminary triage
24/7
AI availability
"The system has become integral to our radiologists' workflow. It catches cases we might have missed and speeds up our entire process."
— Chief Medical Officer