Artwork

Content provided by Barry Singer, MD, Barry Singer, and MD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Barry Singer, MD, Barry Singer, and MD 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.
Player FM - Podcast App
Go offline with the Player FM app!

Harnessing AI: Transforming MS Care

39:01
 
Share
 

Manage episode 411463741 series 2869252
Content provided by Barry Singer, MD, Barry Singer, and MD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Barry Singer, MD, Barry Singer, and MD 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.

Prepare to be intrigued by the groundbreaking intersection of artificial intelligence (AI) and multiple sclerosis care! By combing through extensive databases, including genetic information and real patient records, AI can forecast with remarkable accuracy the likelihood of MS onset. In the near future, AI could even serve as a guiding light for clinicians and MS patients in selecting the most suitable disease-modifying therapies, armed with predictive algorithms tailored for each individual.

But the marvels of AI don’t stop there. In a recent study, AI detected an astonishing 93% of new and enlarging T2 brain lesions in MRI scans, far surpassing the 58% accuracy rate of routine radiology reads. Artificial intelligence is also making waves in drug development and early clinical trial design, accelerating the quest for innovative therapies to combat MS.

Barry Singer MD, Director of The MS Center for Innovations in Care, interviews:

Tal Arbel PhD, Professor, Department of Electrical and Computer Engineering, McGill University, Montreal

Michael Barnett MBBS (Hons) FRACP PhD, Professor in Neurology, University of Sydney and Director of the MS Society Clinic & MS Clinical Trials Unit at the Brain and Mind Centre

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 411463741 series 2869252
Content provided by Barry Singer, MD, Barry Singer, and MD. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Barry Singer, MD, Barry Singer, and MD 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.

Prepare to be intrigued by the groundbreaking intersection of artificial intelligence (AI) and multiple sclerosis care! By combing through extensive databases, including genetic information and real patient records, AI can forecast with remarkable accuracy the likelihood of MS onset. In the near future, AI could even serve as a guiding light for clinicians and MS patients in selecting the most suitable disease-modifying therapies, armed with predictive algorithms tailored for each individual.

But the marvels of AI don’t stop there. In a recent study, AI detected an astonishing 93% of new and enlarging T2 brain lesions in MRI scans, far surpassing the 58% accuracy rate of routine radiology reads. Artificial intelligence is also making waves in drug development and early clinical trial design, accelerating the quest for innovative therapies to combat MS.

Barry Singer MD, Director of The MS Center for Innovations in Care, interviews:

Tal Arbel PhD, Professor, Department of Electrical and Computer Engineering, McGill University, Montreal

Michael Barnett MBBS (Hons) FRACP PhD, Professor in Neurology, University of Sydney and Director of the MS Society Clinic & MS Clinical Trials Unit at the Brain and Mind Centre

  continue reading

42 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide