Episode 1
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Episode 1
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About this listen
In this episode, we cover a range of topics including a new study on an online tool for assessing dementia risk, and a new tool for predicting the effects of genetic mutations in disease genes. We also discuss a new AI algorithm that improves the ability of electronic devices to detect coughing and a study on the use of the DELPHI method to obtain expert consensus on rules for creating a digital twin model of acute ischemic stroke. This episode provides an informative and engaging overview of recent developments in AI and healthcare.
Discord: https://discord.gg/9SeSJz5Vds
Links to articles discussed in the show:
Online tool found to be effective at assessing dementia risk | UNSW Newsroom
New tool facilitates clinical interpretation of genetic information: MPI-CBG
Researchers Help AI Express Uncertainty to Improve Health Monitoring Tech | NC State News (ncsu.edu)
Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit | BMC Neurology | Full Text (biomedcentral.com)
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