Challenge
The center treats patients with cardiac implantable electronic devices (CIEDs). Identifying the device model from an image and finding the right details in PDF documentation by hand is slow and takes rare expertise.
AI · healthcare · computer vision
Schmidt Surgery Center: AI identifies cardiac devices on X-rays
A cardiac surgery center needed to quickly identify the model of a patient's implanted device and process medical documentation.
- computer vision
- LLM
- PDF parsing
- medical analytics
99%device recognition accuracy
60%faster PDF document analysis
What we built
- X-ray recognitiona computer vision model locates and identifies the cardiac device in the image.
- PDF parsingupload medical reports, extract key parameters and get a structured analysis.
- LLM analysisa language model combines image and document data into a clear summary for the physician.
- Medical analyticsper-patient analysis history and automated routine checks.
Result
Device recognition accuracy is 99%, and PDF document analysis is 60% faster. Physicians get a ready-made summary instead of searching by hand.
Technology
- Computer Vision
- LLM
- PDF processing
- Web interface
What it looks like
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