Transforming Scoliosis Care: The Journey of Momentum Health

Momentum Health is transforming scoliosis care with 3D imaging and AI. We are excited to support them at ViVe in Los Angeles as part of our international tour!

Meet CEO and Co-founder Philippe Miller of Dobson startup Momentum Health

What motivated you and your co-founders to start Momentum Health?

When Dr. Jean Ouellet and Evan Dimentberg first introduced me to the problem, and it was clear that this was a true problem that needed to be solved. I was intrigued by the new technology and the ability to empower patients to have more control over their own health.

What are some challenges you are facing while scaling your start-up?

We are always looking for more data and research partners. As a start-up, we want to move quickly, but the healthcare system moves slowly, so it's challenging to find a fast-paced healthcare partner that is looking to innovate. 

How did the Dobson Centre play a role in Momentum Health as we know it today?

Evan originally did the Lean Startup program, Dobson Bootcamp and Cup Competition, X1 Accelerator and made his way up to the International Roadshow. They've helped us with financial support and given us opportunities we would not have had otherwise. 

Who would be an ideal partner or collaborator for Momentum Health?

We are looking to partner with children’s hospitals looking to move their healthcare into the home and healthcare systems struggling with rural access to care. 

What are you most excited about for ViVe in Los Angeles? 

With our most recent FDA clearance, we are excited to connect and meet the right people who are looking to partner with startups innovating the healthcare industry. 


About Momentum Health

Momentum Health is an AI-based mobile app for remotely screening and monitoring scoliosis and other spine deformities. From a simple 45-second video taken on any smartphone, Momentum reconstructs a 3D model of the body to quantify asymmetries and predict curve progression. Momentum's radiation-free technology allows for frequent tracking to catch curve progression early and reduce the associated breast cancer risks from x-rays.

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