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DTSTART;TZID=Europe/Vienna:20251024T133000
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SUMMARY:Explainable AI
DESCRIPTION:The webinar will provide first the fundamentals and basics of explainable artificial intelligence\, including the tools for interpretability of machine and deep learning models\, as well as the explainability principles. Second\, it will provide how these concepts are translated and applied to the development of AI-based models for nuclear medicine applications. \n\n\n\n \n\n\n\n\n\n\n\nRegister nowEnrol in the live webinar now for free! Register now\n\n\n\n\n\n\n\n \n\n\n\n \n\n\n\nLearning Objectives\n\n\n\n \n\n\n\n \n\n\n\n\nAttendees will be able to understand what are the concepts and methods that define explainable AI\, including interpretability tools and algorithms\, as well as explainability concepts to translate these to the end-users.\n\n\n\nAttendees will be able to discover how these concepts can be used to facilitate the development\, adoption and trust for end-users of AI-based models in nuclear medicine applications.\n\n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\nTarget Audience\n\n\n\n \n\n\n\n \n\n\n\n\nNuclear medicine physicians\, scientists and technologists interested in the application of artificial intelligence in nuclear medicine imaging applications.\n\n\n\n\n \n\n\n\n \n\n\n\nFaculty\n\n\n\n\n\nNeo Christopher ChungSpeaker \n\n\n\n\n\nClemens SpielvogelSpeaker \n\n\n\n\n\nMathieu HattModerator \n\n\n\n\n\n\n\n\n\nEvent Overview
URL:https://esmit.eanm.org/event/explainable-ai/
CATEGORIES:AI & Quantification,Live Webinars
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