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Healthcare
AI-Powered Medical Imaging for Faster Diagnosis
How a hospital network deployed AI to assist radiologists, reducing diagnosis time by 40% while maintaining 94.2% accuracy.
Client: Regional Hospital NetworkDuration: 6 months
40%
Faster Diagnosis
94.2%
Accuracy Rate
180K
Scans Analyzed/Year
<5min
Critical Case Flagging
The Challenge
Radiologists were overwhelmed with a 45% increase in imaging volume. Average diagnosis time was 48 hours, with critical cases sometimes delayed due to backlog.
Our Solution
We developed a computer vision system for X-ray, CT, and MRI analysis that assists radiologists with AI-powered triage, prioritization, and visual explanations.
Key Results
Diagnosis time reduced from 48 hours to 29 hours average
Critical findings flagged within 5 minutes of scan completion
Radiologist productivity increased by 35%
Staff turnover reduced from 18% to 7%
Tech Stack
PyTorchMONAIDICOMAWS HIPAAEpic EHR
"This AI system has transformed our radiology department. We provide faster, more accurate diagnoses while reducing radiologist burnout."
Chief Radiologist
Regional Hospital Network
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