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Invest in Echo Mind Ai

AI for Musculoskeletal Ultrasound

Highlights

1
Achieved 95% prediction accuracy for tendon tears 😎
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Grant from National Science Foundation πŸ‘¨πŸ»β€πŸ”¬
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Co-marketing and Full Integration deal signed with large ultrasound vendor πŸ‘ŒπŸ½
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All soft tissue injuries will be diagnosed at the point of care by any Dr. πŸ’ͺ
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MRI too expensive and less available to underserved populations πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦
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Working with Economists at CU in Denver on study to improve racial equality in diagnosis πŸ‘¨β€πŸŽ“
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Experienced exec team with combined 12 graduate degrees and 40+ yrs exp πŸ“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. 

    Health Practitioners 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 Practitioners 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 Health Practitioner 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. 

    Technology

    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

    We have a service model and an AI software AI model. 

    The service model utilizes tele-sonography in an "Uber-like" model. We have contracted close to 30 RMSK/RMSKS certified sonographers across the country to provide remote ultrasound diagnostics. Health Practitioners receive training on how to collect ultrasound videos. Then those videos get sent to the cloud where the certified sonographer analyzes, annotates, and returns select images to the health practitioners in the form of a PDF report. Health Practitioners pay us on a per diagnostic basis. This service model not only acts as a profitable business, but provides a mechanism for us to scale data collection and labeling; a must for any legitimate AI company. This model is currently active. We will be implementing a signed co-marketing and integration deal with a large ultrasound company soon.

    The AI model requires more data, FDA clearance, and development. We have already developed a proof of concept AI model that predicts tendon tears in the shoulder with 95% accuracy. The National Science Foundation has given preliminary approval for a grant to fund continual development of this technology. We anticipate our AI models to be made available to our ultrasound vendor partner in a continuance of our co-marketing agreement with them. 

    Below is an estimate of revenue per client.   

    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 currently have 9 employees consisting of 4 developers, 3 clinicians, a controller, and a CEO. 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. 







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