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VisualPT.ai
The Physical Therapists’ Tricorder
What’s a Tricorder?
Star Trek fans everywhere will adjust their eyeglasses and increase their dosage of Centrum Silver but physical therapists worldwide will jump for joy.
- No more data collection
- No more handwritten notes
- No more late nights finishing patient documentation
The VisualPT.ai mobile app is a computer vision tool that uses a mobile device to gather movement data on physical therapy patients.
It’s Star Trek… but it’s not!
The future is here. It’s just not evenly distributed.
“We were promised flying cars but all we got was 140 characters.”
Peter Thiel, Founder PayPal
Not so fast, Peter Thiel.
Take a look at the Physical Therapy Tricorder.
The app casts a vector image (seen below) over the human frame. An AI algorithm collects test data on 3 common PT tests:
- The Clinical Test of Sensory Integration and Balance (CTSIB)
- The Berg Balance Scale (BBS)
- The 10 meter Gait Velocity test
Fast video and data collection will help the PT analyze patients’ movement to…
- Predict fall risk in older adults
- Propose physical therapy referrals to physicians
- Generate text snippets that automatically populate the Daily Note & Patient Summaries.
Why?
We don’t need your dumb algorithm.
Right? Isn’t a mobile app just another tech stack you’ll have to manage? What happens when the WiFi waffles or the iPhone can’t connect?
Who remembers the story of the frog in the pot? The water is clear and cold. But, slowly an evil giant begins to turn up the heat. Slowly, the water starts to heat up. The frog is uncomfortable but not enough to jump out of the pot. Before long, the water is boiling and the frog is dead.
We don’t want to scare you; we want to EXCITE you!
But wait! Won’t the evil AI just take your PT job?
– Your Mom
The Physical Therapists’ Tricorder is in development (validation screen below).
Join our team of:
- Machine Learning Scientists,
- Front End Developers and
- Healthcare Visionaries – help us collect and test the Artificial Intelligence, make it better and help physical therapists.
“Let PTs Treat People, Let Machines Gather Data”
Wall Graphic at VisualPT.ai World Headquarters
We’re training the worlds’ first handheld computer vision tool for the outpatient physical therapy clinic.
The images below show subjects training the new, Machine Learning algorithm for the Clinical Test of Sensory Integration & Balance (CTSIB).
VisualPT.ai will predict the risk of falling down in older people who visit outpatient therapy clinics in under 3 minutes – much faster than unassisted pen-and-pencil methods today.
3 minutes – that’s how long the new computer vision tool needs to gather patient movement data.
This is much faster than the old, manual pen-and-paper method still being used in physical therapy clinics all over the United States and the world, today.
Training the AI/ML algorithm
Phase II data collection involves taking lots of tests of students in order to train the algorithm about human movement – in this case, we are training the AI to detect ‘Sway’ from ‘Static’ images that can detect a person at risk for a future fall with injury.
We’ve built the following test protocols in the mobile app:
- The Clinical Test of Sensory Integration & Balance
- The Berg Balance Scale
- 10 meter Gait Velocity test
Virtual Student Data Collection Experience
The VisualPT.ai is partnering with schools and universities to provide a Virtual Data Collection Experience to Doctor of Physical Therapy students (as well as Physical Therapist Assistant students).
Your DPT and PTA students will participate with Machine Learning Engineers and Mobile App Designers to train the next generation of AI-augmented physical therapy tools.
Create the Future of Physical Therapy
Join our PT Clinical Advisory Panel (limit 10 Schools)