DASH Webinar: Trustworthiness of AI applications in Healthcare

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This is a recording of the DASH Webinar 'Trustworthiness of AI applications in Healthcare' that was hosted on April 20, 2021.

Artificial intelligence (AI) applications have the potential to transform and accelerate healthcare. However, when starting implementing AI in healthcare, you want to make sure that systems are reliable and adhere to the best practices in responsible machine learning development.

During this DASH webinar, Oge Marques, an award-winning educator and researcher, and Christian Garbin, a researcher in the field of implications of machine learning products, discuss how to reduce or even prevent errors in AI healthcare applications, increase transparency of the AI ​​lifecycle and improved reporting through the use of recently introduced AI checklists and guidelines. As examples, they demonstrate the use of Datasheets for datasets for the ChestX-ray8 dataset and Model cards for the CheXNet model.

More information about the Data Science Center in Health (DASH)

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.
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