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AI4Society Dialogues, S2E5 - Advances in computer vision supporting diabetes research

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Content provided by AI4Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI4Society 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://staging.podcastplayer.com/legal.

Computer Vision is a field within artificial intelligence that is having significant impacts in medicine. Automated analysis of medical scan images can provide rich sources of insight and machine learning techniques to process this data open up a realm of possibilities for both researchers and clinicians. Dr. Nilanjan Ray is a leading researcher in computer vision, image analysis and visual recognition with deep learning. His current focus includes the application of cutting edge computer vision techniques to advance research in diabetes treatment. We talk about how he “accidentally” landed in this field, how computer vision works, the challenges of executing decision making using AI, how he is using generative adversarial networks to advance medical research (not for deep fakes!) and the role of technology in democratizing healthcare.
“In order to make that kind of (diabetes) treatment available...there is almost no choice but to use AI to bring the costs down to scale up (delivery)” – Nilanjan Ray
Dr. Nilanjan Ray is Professor of Computer Science at the University of Alberta. His research is in computer vision, image analysis and visual recognition with deep learning. His work includes medical imaging and general computer vision applications including classification, recognition, semantic segmentation, object tracking, image registration and motion detection. Dr. Ray has served as General Co-chair for AI/GI/CRV conference in 2017, Associate Editor for IEEE Transactions on Image Processing (2013-2017) and IET Image Processing (2016-), reviewer for NSERC DG and CRD grants.

Season two of AI4Society Dialogues is a co-production between two signature research areas at the University of Alberta, AI4Society and Precision Health.

Host: Katrina Ingram, Founder and CEO, Ethically Aligned AI
Technical Producer: Corey Stroeder
Special thanks to Kaly Vittala for research and production support.
Theme music: “Seeing the Future” by Dexter Britain

Dr. Eleni Stroulia, Professor, Computer Science and Director, AI4Society
Dr. Lawrence Richer, Vice Dean, Research, Faculty of Medicine and Dentistry
Copyright 2021 University of Alberta. All rights reserved.

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21 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 20, 2024 15:43 (9M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 440916747 series 3602080
Content provided by AI4Society. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AI4Society 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://staging.podcastplayer.com/legal.

Computer Vision is a field within artificial intelligence that is having significant impacts in medicine. Automated analysis of medical scan images can provide rich sources of insight and machine learning techniques to process this data open up a realm of possibilities for both researchers and clinicians. Dr. Nilanjan Ray is a leading researcher in computer vision, image analysis and visual recognition with deep learning. His current focus includes the application of cutting edge computer vision techniques to advance research in diabetes treatment. We talk about how he “accidentally” landed in this field, how computer vision works, the challenges of executing decision making using AI, how he is using generative adversarial networks to advance medical research (not for deep fakes!) and the role of technology in democratizing healthcare.
“In order to make that kind of (diabetes) treatment available...there is almost no choice but to use AI to bring the costs down to scale up (delivery)” – Nilanjan Ray
Dr. Nilanjan Ray is Professor of Computer Science at the University of Alberta. His research is in computer vision, image analysis and visual recognition with deep learning. His work includes medical imaging and general computer vision applications including classification, recognition, semantic segmentation, object tracking, image registration and motion detection. Dr. Ray has served as General Co-chair for AI/GI/CRV conference in 2017, Associate Editor for IEEE Transactions on Image Processing (2013-2017) and IET Image Processing (2016-), reviewer for NSERC DG and CRD grants.

Season two of AI4Society Dialogues is a co-production between two signature research areas at the University of Alberta, AI4Society and Precision Health.

Host: Katrina Ingram, Founder and CEO, Ethically Aligned AI
Technical Producer: Corey Stroeder
Special thanks to Kaly Vittala for research and production support.
Theme music: “Seeing the Future” by Dexter Britain

Dr. Eleni Stroulia, Professor, Computer Science and Director, AI4Society
Dr. Lawrence Richer, Vice Dean, Research, Faculty of Medicine and Dentistry
Copyright 2021 University of Alberta. All rights reserved.

  continue reading

21 episodes

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