Case Studies/2023/MedTech AI Diagnostics

MedTech AI Diagnostics

[ MedTech AI Diagnostics Overview ]

Client

MediGlobal

Timeline

8 Months

Disciplines

PythonTensorFlowReactHIPAA

"How can we ensure every patient gets a second pair of expert eyes without doubling our staff?"

Overwhelmed Specialists

Radiologists are often overwhelmed by massive amounts of imaging data. The need for precise, automated anomaly detection was critical for improving patient outcomes.

P-01

Deep Learning for Anomaly Detection

We implemented a custom CNN architecture optimized for high-resolution medical imaging, featuring:

  • Automated segmentation of potential anomalies.
  • Heatmap generation for immediate clinician focus.
  • Integration with existing PACS and DICOM workflows.
  • End-to-end encryption for HIPAA compliance.

P-02

Precision at Scale

Our AI model processed millions of images, reducing clinician fatigue and significantly improving early detection rates across 50+ hospitals.

30%

FASTER DIAGNOSIS

95%

MODEL ACCURACY

50+

HOSPITALS DEPLOYED

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