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Measuring Neurological Conditions with Dirk Smeets from Icometrix

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Manage episode 378581189 series 3401994
Content provided by Heather D. Couture. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Heather D. Couture or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

  • Introducing Dirk Smeets, Chief Technology Officer of icometrix.
  • The work of icometrix in treating neurological disorders.
  • What the landscape of neurological disease treatment looks like today.
  • The role of AI in matching treatment to technologies.
  • Parallels between the outcome of ChatGPT and neurological imaging.
  • Introducing artificially intelligent machines that can carry out tasks to the level of experts.
  • How expert-level AI care will change the way care is carried out in the coming years.
  • How icometrix uses machine learning in the analysis of imaging data.
  • Different approaches to adapting the standard process of 2D imaging through deep learning.
  • Advantages to this deep-learning approach.
  • Obstacles to developing diagnosis capabilities through machine learning.
  • Using clinical workflow to determine which areas to focus on with new innovations.
  • Choosing to embed automation into the AI process to empower practitioners.
  • Weighing different feature requests when choosing which to develop.
  • How the regulatory process impacts machine learning developments.
  • Building trust by publishing work for the public eye.
  • Dirk’s recommendation for other founders in AI technology.
  • Thinking of AI as the means to achieve a goal rather than the purpose.
  • His prediction for the future of treatment for neurological conditions and the role icometrix will play.

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

Links:

Dirk Smeets on LinkedIn

Dirk Smeets on Twitter

icometrix

icometrix on LinkedIn

icometrix on Twitter

Resources for Computer Vision Teams:

LinkedIn – Connect with Heather.

Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.

Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.

Computer Vision Advisory Services – Monthly advisory services to help you strategically plan your CV/ML capabilities, reduce the trial-and-error of model development, and get to market faster.

  continue reading

84 episodes

Artwork
iconShare
 
Manage episode 378581189 series 3401994
Content provided by Heather D. Couture. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Heather D. Couture or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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:

  • Introducing Dirk Smeets, Chief Technology Officer of icometrix.
  • The work of icometrix in treating neurological disorders.
  • What the landscape of neurological disease treatment looks like today.
  • The role of AI in matching treatment to technologies.
  • Parallels between the outcome of ChatGPT and neurological imaging.
  • Introducing artificially intelligent machines that can carry out tasks to the level of experts.
  • How expert-level AI care will change the way care is carried out in the coming years.
  • How icometrix uses machine learning in the analysis of imaging data.
  • Different approaches to adapting the standard process of 2D imaging through deep learning.
  • Advantages to this deep-learning approach.
  • Obstacles to developing diagnosis capabilities through machine learning.
  • Using clinical workflow to determine which areas to focus on with new innovations.
  • Choosing to embed automation into the AI process to empower practitioners.
  • Weighing different feature requests when choosing which to develop.
  • How the regulatory process impacts machine learning developments.
  • Building trust by publishing work for the public eye.
  • Dirk’s recommendation for other founders in AI technology.
  • Thinking of AI as the means to achieve a goal rather than the purpose.
  • His prediction for the future of treatment for neurological conditions and the role icometrix will play.

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

Links:

Dirk Smeets on LinkedIn

Dirk Smeets on Twitter

icometrix

icometrix on LinkedIn

icometrix on Twitter

Resources for Computer Vision Teams:

LinkedIn – Connect with Heather.

Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.

Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.

Computer Vision Advisory Services – Monthly advisory services to help you strategically plan your CV/ML capabilities, reduce the trial-and-error of model development, and get to market faster.

  continue reading

84 episodes

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