Inspiration
It all started with two challenges we saw in the clinical space:
- Clinicians needed information from patients about their headaches in order to understand what was causing them, and sometimes used paper headache journals
- About a billion dollars are spent per year on headache related neuroimaging, however only a small percentage of scans show up clinically relevant findings
What it does
Transforming the way that clinicians diagnose headaches by empowering patients to share their headache symptoms in real time. Then, by analyzing headache patterns, and following the clinical outcomes associated with each pattern, our algorithm will learn to recognize if a patient’s headache pattern indicates that they are high or low risk. Our program will improve patient outcomes, reduce radiation exposure, and decrease medical costs.
How I built it
With a great team of coders, science majors, and medical students at the 2018 MedHacks at JHU
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