Kista Science City: Explainable AI for healthcare – challenges and future outlook

AI and machine learning have the potential to revolutionize health care. 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.

Join Kista Science City, as the Tech Tuesday seminar series returns in 2024, for a breakfast seminar hosted by DSV, the Department of Computer and Systems Sciences at Stockholm University.

During this talk, professor Panagiotis Papapetrou will give you an overview of state-of-the-art research on explainable machine learning models in healthcare applications.

Read more at Kista Science City's website

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6 Feb 2024

08.30 - 09.30

Skärmavbild 2024-01-23 kl. 15.23.38

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