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Healthcare AI
AI Orthopaedics Tool.
An AI assistant that shortens joint-replacement planning from hours to minutes. The model suggests; the surgeon makes every call.
- Built at
- DevTechGuru
- Scale
- 5,000+ clinical cases.
- Category
- Healthcare AI

- Clinical Cases
- 5k+
- Ward Adoption
- 100%
Context
Surgeons were spending hours per case planning joint replacements across disconnected tools.
Challenge
Integrate the ML team’s segmentation model into a workflow surgeons would trust and use on real patients.
Non-negotiables
- Patient privacy
- Fast review times
- Clear reasoning behind every suggestion
Calls I made
- 01
Surgeon in control
The model proposes, the surgeon decides. Every step is reviewed and signed off by a clinician.
- 02
Simple data layer
Kept the underlying schema flat so patient data stays isolated and easy to audit.
Trade-offs accepted
- Chose guided manual review over end-to-end automation. Slower in theory, but it was the approach surgeons would actually adopt.
- Prioritised reliability and explainability over additional features.
Outcome
Pre-operative planning time dropped, and the tool is now used on every case on the ward where it was deployed.
In healthcare, AI earns its place as a transparent assistant, not a stand-in for human judgment.
Stack
- Django
- React
- Next.js
- YOLO
- OpenCV
- DICOM
- MySQL
- AWS
Got something similar in mind?
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