“Causal AI”: Is causal inference from healthcare data about to be automated?
- Lecture Series Cancer Research
Speakers
Hernán
Director of CAUSALab
Professor of Epidemiology and Biostatistics at Harvard
Abstract
Decisions about the treatment and prevention of disease are guided by causal inference and health researchers often make causal inferences using healthcare databases. The emergence of tools referred to as “AI” may transform the way in which those databases are used for causal inference.
However, for “AI” to speed up the causal learning for healthcare databases, we need a better understanding of what both “AI” and causal inference are. This talk dissects the components of “Causal AI” and discusses its potential to automate causal research in the health sciences.
LOCATION
Lecture:
Room: Maison des Sciences Humaines
11, porte des sciences
L-4366 Esch- sur- Alzette, Luxembourg
LECTURE: 11:00am – 12:00pm
Webinar via Webex:
Event number: 2790 257 8427
Event password: VYi3bjts5r6
MEET & EAT
12:00pm – 13:30pm
Room: Maison des Sciences Humaines
11, porte des sciences
L-4366 Esch- sur- Alzette, Luxembourg
Light lunch provided – *Please note that registration for Meet and Eat is mandatory via the following link:
Supported by:
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