Why & How do we develop our MedDev?
Problem
The Narrowing of Cardiovascular, and NOT knowing it! (Image 1)
How we approach it
- What is the essence of the problem?
- Consulting both physicians and patients, form the common rules that applies most cardiovascular diseases.
- How many can we save in society?
- If we can, are we able to do?
- Do we have disrupt solutions to maintain the accuracy but more affordable and easy to use ?
- Research the technology vs problem
Market research
We interviewed physicians, surgeons and patients.
What is the theory behind makes it works? (Image 2)
PoC
- MatLab, trial use, easy to implement
Clinical trials
- Labeled data is better. Before and after right at the moment can save data ETL time and effort
- Hospital data quality is better but more restrictive
What existing approaches’ don’t have
- Invasive
- Too Expensive
- Appointment Wait Time Too Long
- May Cost If Insurance Not Covered
- Requires Medical Professionals To Interpret
How did we address it and try to achieve? (Image 3)
Using AI/ML to predict the narrowing signals with labeled clinical data.
What have we achieved?
So far, On stroke, On dialysis
Features
- AI-powered stroke 85% prediction rate
- Portable and affordable
- US patented
- Production-ready
Looking for small fund investors
funding@above-care.com
#stenosis #thrombosis #dialysis #stroke #stroke #AI #ML #machinelearning #non-invasive #QIP #cardiovascular #crd #hhd