Welcome to episode 111 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Michal Sofka, Deep Learning Team Lead at Hyperfine in New York. Michal's passion is to innovate and transform ideas into product solutions. He is a Technical leader on research and development projects; product development in medical image analysis, computer vision and machine learning. He has worked in top R&D labs, building cutting edge technology in leading startups in New York City.
Hyperfine began from personal experiences with expensive, inaccessible and complex MRI systems with 4.7 billion people around the world today having no access to medical imaging. Hyperfine is on a mission to make MRI accessible to every patient regardless of income or resources, anywhere, anytime. As a result, Hyperfine built a portable MRI that can be move directly to the bedside with no need for a shielded room - MRI at the Point of Care.
In the show, Michal will tell you about:
Hyperfine’s mission to make MRIs more accessible
The role of Deep Learning in delivering their innovative MRI systems
Challenges in getting their product into the market
How he went about building a successful AI team
Upcoming projects that excites him, such as medical imaging
Why Hyperfine is a great place to work
What the future looks like at Hyperfine
To find out more about Michal and his work at Hyperfine, check out the website www.hyperfine.io or follow them on Twitter @HyperfineR. You can also follow Michal on Twitter @MichalSofka or connect with him on Linkedin.
What did you make of Michal's podcast? Where do you see the future of Artificial Intelligence in the Healthcare sector heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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