Can machine learning improve the treatment of neurological diseases? Here to tell us how AI is improving the landscape of neurological care is Dirk Smeets, Chief Technology Officer of icometrix.
We kick off our conversation considering what the landscape of treatment looks like today before exploring the role of AI in matching treatment to technologies. We discuss the parallels between the outcome of ChatGPT and the implications of neurological imaging, and Dirk reveals how icometrix has been able to produce artificially intelligent machines that can carry out expert tasks. Imagining the future, we discuss different approaches to adapting 2D imaging and the advantages of taking a deep-learning approach. This episode covers the process of choosing focus areas, weighing different feature requests, the influence of the regulatory process, and Dirk’s predictions for the future of neurological treatment. Join me today to hear all this and so much more.
Key Points:
Quotes:
“One in three people will suffer in their life from a neurological condition. The societal burden for neurological conditions is the sum of kidney disease, heart disease and diabetes together.” — Dirk Smeets
“The field of neurological conditions is moving. There are treatments available, but the downside unfortunately, is that those medications are not working for everyone. It is still a lot of trial-and-error.” — Dirk Smeets
“We can build machine learning models that can do tasks at the level of experts. For example, expert radiologists. That will change the way we do current practice.” — Dirk Smeets
“At icometrix we find science important. It's actually almost in our DNA. The reason why is that we believe that the technology we build should be scientifically sound.” — Dirk Smeets
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