Tech Tuesday on “Explainable AI for healthcare – challenges and future outlook”
Seminar
Date: Tuesday 6 February 2024
Time: 08.30 – 09.30
Location: Room L30, DSV, Borgarfjordsgatan 12, Campus Kista
Welcome to a breakfast seminar on how machine learning methods can improve our health care. Panagiotis Papapetrou, Department of Computer and Systems Sciences, will give you an overview of state-of-the-art research.
Tech Tuesday is a monthly breakfast event for the tech community in Kista, organized by Kista Science City. The aim is to get an inside perspective and learn about cutting edge trends from researchers and developers in Kista. The February meeting is hosted by the Department of Computer and Systems Sciences (DSV), Stockholm University.
Professor Panagiotis Papapetrou will share insights from his research in explainable machine learning which has important implications for health care.
This event is free of cost, but we have a limited amount of seats.
Sign up here if you want to join us!
Agenda
8.30 Breakfast and mingle at DSV, Stockholm University
9.00 Welcome by DSV and Kista Science City
9.05 Presentation by Panagiotis Papapetrou on “Explainable AI for healthcare”
9.20 Q&A
9.30 The event ends
About the seminar
AI and machine learning have the potential to revolutionize healthcare. New tools can help medical doctors to more accurate diagnoses and wiser decisions on which treatments to start. This would be beneficial for both individual patients and the society as a whole – but a key issue is that doctors need to trust their AI-assistants. That is, the machine learning models need to be explainable so that clinicians understand where the advice is coming from.
During his talk, professor Panagiotis Papapetrou will give you an overview of state-of-the-art research on explainable machine learning models in healthcare applications.
The talk will cover:
– how to provide trustworthy explanations in the healthcare context
– the challenges of multimodality in healthcare data sources
– how to achieve good tradeoffs between data privacy, explainability and model performance
About the speaker
Panagiotis Papapetrou is a professor in data science and vice head of DSV, the Department of Computer and Systems Sciences. With over 200 employees and 5 000 students at Campus Kista, DSV is one of the biggest departments at Stockholm University. Panagiotis leads the Data Science Research Group.
Welcome!
Last updated: January 23, 2024
Source: Department of Computer and Systems Sciences, DSV