EUniWell AI WS - Day 1 - full replay
Key | Action |
---|---|
K or space | Play / Pause |
M | Mute / Unmute |
C | Select next subtitles |
A | Select next audio track |
V | Show slide in full page or toggle automatic source change |
left arrow | Seek 5s backward |
right arrow | Seek 5s forward |
shift + left arrow or J | Seek 10s backward |
shift + right arrow or L | Seek 10s forward |
control + left arrow | Seek 60s backward |
control + right arrow | Seek 60s forward |
shift + down arrow | Decrease volume |
shift + up arrow | Increase volume |
shift + comma | Decrease playback rate |
shift + dot or shift + semicolon | Increase playback rate |
end | Seek to end |
beginning | Seek to beginning |
Si vous êtes abonné aux notifications, un e-mail vous sera envoyé pour toutes les annotations ajoutées.
Votre compte utilisateur n'a pas d'adresse électronique.
Informations sur ce média
Nombre de vues :
9Date de création :
fév. 3, 2023Licence :
cc 4.0 by NCDescription
Impact of Artificial Intelligence on Healthcare and Education:
trustworthy technology, ethical and legal dimensions
We are happy to present you the replay of the Day 1 virtual panel of european experts in #AI composed on Day 1 of :
📣 Tora Hammar, Linnéuniversitetet : "Challenges with Artificial Intelligence in healthcare"
📣 Marco Spruit, Universiteit Leiden : "Translational Data Science: A case of Natural Language Processing in Mental Health"
📣 Jose M. Juarez, Universidad de Murcia and Sergio Aleman, Hospital University Morales : "Trust in Artificial Intelligence and experiences in medical education"
📣 Welf Löwe, Linnaeus University : "AI for Managers and AI for Medical doctors"
📣 Edmond Girasek PhD, Semmelweis University : "Artificial Intelligence in Healthcare: social, and legal aspects"
📣 Pierre-Antoine Gourraud, Nantes Université and CHU de Nantes : "Biomedical data warehouses : a "house" for both data and algorithms"
In collaboration with the #DELPHI cluster Isite NExT from Nantes Université, we were able to assist researchers through our program DELPHI Support for the application to the EUniWell - European University for Well-Being call for workshops.
DELPHI aims to facilitate and accelerate links between AI applications and health data through researchers, students, start up and industry fot the health of the future. This project is financed in part by ANR (Agence nationale de la recherche) and its PIA (reference ANR-16-IDEX-0007) and a financial support from Région Pays de la Loire and Nantes Métropole.
This workshop was supported by EUniWell - European University for Well-Being and organised in collaboration to:
Marco Spruit Tora Hammar Welf Löwe Edmond Girasek PhD Pierre-Antoine Gourraud
All the replay and the subscribe link for Day 2 - Tuesday February 21st - are available on the website here :
https://www.um.es/medailab/events/EuniAI-WS/