Your browser is old and is not supported. Upgrade for better security.

Invest in Echo Mind Ai

AI for Musculoskeletal Ultrasound


Achieved 95% prediction accuracy for tendon tears ๐Ÿ˜Ž
All soft tissue injuries will be diagnosed at the point of care by any Dr. ๐Ÿ’ช
Licensing available on ultrasound vendor's large platform๐Ÿ‘Œ๐Ÿฝ
77% of ALL health care visits are for musculoskeletal injuries, most going undiagnosed in 1st visit ๐Ÿ˜ฎ
MRI too expensive for poor and less available to underserved populations ๐Ÿ‘จโ€๐Ÿ‘ฉโ€๐Ÿ‘งโ€๐Ÿ‘ฆ
Working with Economists at CU in Denver on study to improve racial equality in diagnosis ๐Ÿ‘จโ€๐ŸŽ“
Experienced team with combined 12 graduate degrees and 40+ yrs exp ๐Ÿ“œ

Our Team

I had a freak knee injury in 2019 which caused me to question the whole MRI diagnostic process for soft tissue injuries. I've also had several poignant experiences concerning how biased our healthcare system can be to the poor and underserved.

The Biggest Innovation in Medical Imaging since the Digital X-Ray

Ever had one of the following musculoskeletal (MSK) injuries? Ankle, Knee, Lower Back, Shoulder, Elbow, Foot, Wrist...You get the picture:)

    If you are like most people, you never had your injury definitively diagnosed. Those that do get a diagnosis have to spend a bunch of time going to a 3rd party MRI Imaging Center where they charge WAY too much money. Most people don't have that kind of money or time. The below video tells the story of my knee accident! 

    We Are Democratizing Ultrasound so All Doctors Everywhere Can Help Vastly More Patients at the Point of Care. 

    Doctors should be able to see under the skin and provide a definitive diagnosis at a super low cost. Right now, most people go to a Primary Care Physician and are prescribed pain medication in a wait and see approach. The only way to tell if the pain medication will relieve symptoms or not is if the pain doesn't go away. This is why Duke University Medical School said we don't have enough resources devoted to this. This is why MSK pathologies are now costing our economy 5.7% of GDP every year!

    Ever heard of getting an ultrasound diagnostic? Most people haven't. More and more Doctors are learning the art of ultrasound, but it is a very steep learning curve. It's like asking a Primary Care Dr. to all of a sudden become an Anesthesiologist.

    In 20 years, Ultrasound will be the most common diagnostic tool among health practitioners. It is likely a local Dr. in your area already knows how to use Ultrasound to diagnose musculoskeletal injuries. Already, Ultrasound AI technology is actively being used for cardiology, pulmonary DVT, cancer detection, and bladder analysis. 


    Our technology uses ultrasound and Artificial Intelligence to allow any health professional, with very little experience, to capture and provide a musculoskeletal pathology prediction. We are collecting and labeling data for 13 common MSK pathologies found in the shoulder. We have achieved the ability to predict tendon tears in the shoulder with 95% accuracy. However, we have more to finish on our product roadmap! Our next development milestone is an ultrasound guidance system that will guide novice users in the collection of diagnosable images. The end goal is that patients and Doctors will be able to review a color coded picture of their pathology together on a mobile or tablet device and decide on a treatment plan at the point of care.

    See what Doctors are saying about our Technology.

    Business Model

    This will be a 'software as a service model'. Our goal is to make our technology as affordable and accessible as possible. We care more about all Clinics being able to use this technology than maximizing profits. 

    Orthopedic surgeons and MD's, who have access to reimbursable CPT codes for Ultrasound diagnostics, might pay a monthly fee. while Physical Therapists and Chiropractors would pay a low fee per diagnostic; charging the patient on a cash basis as they go. 

    On top of the monthly or per diagnostic fees, each Dr. would need to purchase a $5,000 handheld ultrasound probe. Depending on how often the Dr. utilizes the technology, the ROI on this investment pays off within a month or two. For Doctors, Medicare reimbursement rates for an MSK Ultrasound Diagnostic are $112 (can vary by state). Private Insurance typically pays 141%-259% more than Medicare.  A Dr. performing 10 Medicare patient scans per week could bill ~$4,480 in a month. 

    Below is an estimate of revenue per Dr.   

    Market Size

    We are targeting tendon tears in shoulders first. Commercialization for shoulder is targeted at 14 months post funding. As we approach FDA approval for shoulder tendon tears, we will lean in on data collection and clinical trial support for knee and lower lumbar areas of the body. We expect these three areas to give us 70%-80% coverage of common MSK injuries Doctors typically treat. We will scale algorithm development and FDA approval across the rest of the musculoskeletal system as customers demand thereafter.  

    Patient Perspective

    The below Patient's experience really tells the story of how directly this technology can affect lives for the better! Sometimes it is really difficult to justify an MRI to insurance companies. 

    Racial Equality

    There is a huge opportunity to improve racial equality with this technology as well. People of Color have to travel farther, wait longer in line, and when they do have access to an MRI it typically produces lower quality imaging. Underserved populations, including People of Color, also typically feel higher levels of pain on average. One study done by Harvard says underserved populations experience higher levels of pain on average, and that a lot of their pain doesn't come across in standard radiological measures of severity. Basically, this has caused People of Color to receive knee surgery less often while at the same time experiencing more pain on average! Using basic vanilla data, Harvard was able to reduce this disparity by 43% using AI! We are going to be working with health economists University of Colorado in Denver to build completely un-biased pathology prediction into our AI.      

    Our Team

    PEOPLE are what make companies successful. We have an INCREDIBLE team. Each member is super engaged and excited at what we are building. We have additional future team members waiting in the wings for when our seed round closes. We plan to hire two more developers and a project manager. We are hiring smart, humble people. We are implementing Scrum in our developer and operational group workflows to help ensure we stay on target. People are our most important asset and time is our most expensive cost.