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HealthTech

Project Vitality: Smart Diagnostic Triage

AI-driven diagnostics platform reducing waiting times by 40%.

The Challenge

Radiologists were overwhelmed with the volume of scans, leading to delays in critical diagnoses and increased burnout.

Our Solution

We partnered with a national healthcare provider to solve a critical bottleneck: patient triage and initial diagnosis. By implementing a deep learning model trained on over 2 million anonymized patient records, we created a system that creates preliminary diagnostic reports for radiologists. This system prioritizes critical cases, ensuring that life-threatening conditions are addressed immediately.

A computer vision system that pre-analyzes X-rays and MRIs, flagging abnormalities with heatmaps and assigning a priority score.

Key Results

1

40% reduction in patient wait times

2

99.8% accuracy in detecting critical anomalies

3

Reduced radiologist overtime by 25%

Technologies Used

PythonTensorFlowFastAPIReactPostgreSQL

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