This is a recording of the DASH Webinar 'Artificial Intelligence in the diagnosis and prognosis of Covid-19' that was hosted on October 6, 2021. Rozemarijn Vliegenthart, radiologist and new member of DASH, hosted this webinar.
During the covid pandemic, AI prediction models were urgently needed to support medical decision making. In theory, AI could make predictions based on data about the course of the disease or about the chance that someone will die from the virus. In practice, however, it is a lot more unruly, research now shows. During a DASH webinar on October 6 we discussed research into the prediction models for diagnosis and prognosis of covid-19.
𝐒𝐩𝐞𝐚𝐤𝐞𝐫:
Laure Wynants is an assistant professor of Epidemiology at the universities of Maastricht and Leuven. Her research focuses on the development, validation, and impact of clinical predictive models for diagnosis and prognosis. She is interested in methods to deal with heterogeneity between populations, and in the clinical utility of prediction models. Her applied work deals with models for gynecological cancers, bloodstream infections, and Covid-19.
𝐌𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐧𝐭𝐞𝐫 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 (𝐃𝐀𝐒𝐇):
- Website: [ Ссылка ]
- Email: dash@umcg.nl
- Linkedin: www.linkedin.com/company/dash-umcg
DASH is the Data Science Center in Health of the UMCG: a knowledge hub, community and facilitator in the area of health data science. DASH aims to advance data science in health by supporting innovative research projects and by bringing experts in data science, machine learning and artificial intelligence together.
