Work
Atlas Health · Healthcare AI · 2025 · 9 months

From pilot to FDA submission in nine months

Built the ML inference pipeline and clinician-facing review app for a cardiac imaging AI device that just entered its 510(k) review.

AI/MLHealthcareProduct
1.8s
Inference time
94%
Clinician agreement
Submitted
Regulatory status
The Problem

Atlas had a research-grade model with impressive accuracy and an inference pipeline that took eleven minutes per study.

No clinician was going to wait eleven minutes.

Our Approach

We distilled the model to a half-precision ONNX runtime, rebuilt the DICOM ingest as a streaming pipeline, and designed a review UI that surfaces model uncertainty as a first-class citizen — because "90% confident" is not the same as "yes."

The Outcome

Sub-two-second inference on commodity GPUs, 94% clinician agreement on the validation set, and a clean submission package that impressed the regulatory reviewers enough to accelerate the intake timeline.

The Stack
+Python+PyTorch+ONNX+FastAPI+SvelteKit+AWS HealthLake
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