Stanford’s annual hackathon.TreeHacks is Stanford University’s official national hackathon. This year, they brought in over 670 hackers with a 50/50 gender ratio, the first major student-run hackathon to be able to do so.
Our team, Big Hero 4, created Ammalia (which means surgery in Arabic), a Leap Motion assisted app that allows medical professionals to easily view and manipulate scans while scrubbed in, sterile and ready to perform a surgery
Best Social Impact Prize - Sponsored by GoodHacks
Best Use of Dropbox API - Sponsored by Dropbox
Project
Ammalia. Where surgeons go to explore.
Ammalia, which means surgery in Arabic, is a Leap Motion assisted app that allows a surgeon to analyze pictures of their patient’s problem (i.e. brain tumors) using the Dropbox API.The areas we believe Ammalia could be the most useful is with radiology image manipulation / scrolling while scrubbed in & sterile in the OR.https://devpost.com/software/ammaliahttps://francescoronel.com/portfolio/ammalia/
I was 1 of 150 hackers from out of state who was accepted to attend TreeHacks with full travel reimbursement from over two thousand applicants, so basically a ~7.5% acceptance rate.
Hackathon Prizes
Best Use of Dropbox API 100 GB of Dropbox storage for each member
Best Social Impact
Lunch with Stanford President Hennessey + $400 to a charity of your choice
Coaching with Shannon Farley & Tour of Fast Forward
$400 to a charity of your choice
Coverage
This is a Medium article about one of my teammates from the hackathon - Stephanie. She was awesome!
Created a README badge using Sketch to be used for project READMEs hacked out at TreeHacks.
Future Features
We can see Ammalia potentially pivoting to include 3D manipulation of MRI and CT scans mid-procedure, which is important when, for example, determining the extent of a tumor in real-time.
Another area we could look into is radiology and cardiology intervention which would actually involve catheter manipulation.
Also, depending on the patient chosen, Ammalia could also showcase different health record data points that pertain to the patient being showcased\ (i.e. name, age, background, etc).