CureMetrix Helps Radiologists Make Better, Faster Decisions With AI

    It’s no secret the pandemic kept many people at home for the bulk of the last year.

    At the same time, businesses that weren’t deemed essential were forced to close their doors, at least temporarily.

    Due to this confluence of factors, radiologists across the country have a massive backlog of X-rays to sift through. Luckily, thanks to CureMetrix’s robust AI-powered solutions, they don’t have to do it all on their own.

    In a recent episode of From Lab to Launch, Qualio’s CEO, Robert Fenton sits down with Sam Dribin, CTO of CureMetrix, to talk about how the technology company is using AI and medical imaging to improve healthcare outcomes for women.

    “Our mission is to help radiologists improve the accuracy and detection in the classification of anomalies in mammography,” Dribin explains. 

    The company is focused on helping doctors save lives by supporting better clinical decision-making while improving financial outcomes for hospitals and clinics. 

    “If you have a backlog of 100,000 or 10,000 images, we can flag the ones that stand out and let the team know someone should take a look at it.”

    Before CureMetrix, radiologists had a detection system that consisted of their own eyes. Thanks to CureMetrix, human error is largely removed from the equation altogether — resulting in a 30 percent reduction in reading time and an even more impressive 63 percent reduction in false positives.

    “CAD products have been around in various forms for quite some time,” Dribin says. “But we are one of the first AI/machine-learning-driven platforms.”

    How CureMetrix works

    While everyone’s unique experiences might vary a bit, here’s what the average patient can expect their radiologists workflow to look like:

    • The patient comes into the office, and X-rays are taken.
    • CureMetrix is essentially CC’d on those images.
    • The data is anonymized, encrypted, and processed in the cloud, using AI against the images.
    • The results are sent back via the same route.
    • The technology either confirms that the radiologist’s conclusions were correct or tells them that there’s something they might have missed.

    As a result, patients receive better care, and radiologists can accomplish more.

    A neurobiology PhD candidate becomes a CTO

    Dribin went to grad school for a PhD in neurobiology.

    “Pretty early on, I realized that my interests were way more aligned with engineering the behind-the-lab bench solution than the experiments themselves,” Dribin says. “So I went to work for pharma in the pharmaceutical realm to really bridge the gap between biology and technology.”

    Since making that decision, Dribin hasn’t looked back. 

    And he suspects others will follow a similar path moving forward.

    “I really think that’s the future: biologists who can program,” Dribin adds.

    Using Qualio to secure regulatory approval

    To sell their software to radiologists, CureMetrix needed to secure regulatory approval. Using Qualio, they were able to go through the process rather seamlessly.

    “Qualio has helped us tremendously with an eQMS,” Dribin says. “But the partnership is really critical. We need to make sure we’re getting good advice, especially as a startup. We spend a lot of time selecting the right partner for the job.”

    Listen to the podcast to learn more about: 

    • The challenges CureMetrix ran into when building their technology
    • Why Sam believes AI is here to stay
    • How the RSNA conference evolved because of the pandemic
    • What CureMetrix is focused on for the future
    • And more!

    If you like stories like these and never want to miss them, subscribe to the  From Lab to Launch podcast on Buzzsprout, Apple Podcasts, Spotify, or Google Podcasts.

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