{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"","title":"Episode 1","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/cover/1682342477370-075c8aff342c8545b581b9d6fd68e63a.jpeg?height=200","description":"

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)

","author_name":"Andrew"}