{"id":144882,"date":"2024-01-09T14:56:10","date_gmt":"2024-01-09T13:56:10","guid":{"rendered":"https:\/\/eurecat.org\/?post_type=mec-events&p=144882"},"modified":"2024-01-15T11:01:44","modified_gmt":"2024-01-15T10:01:44","slug":"trustroke-open-science-webinar","status":"publish","type":"mec-events","link":"https:\/\/eurecat.org\/en\/calendar\/trustroke-open-science-webinar\/","title":{"rendered":"TRUSTroke Open science webinar"},"content":{"rendered":"

In this session, organised by TRUSTroke<\/strong><\/a> project, we will explore the crucial aspects of Artificial Intelligence (AI) that make predictions in stroke care both understandable and reliable. We will discuss how AI models can be designed and evaluated to ensure transparency and trustworthiness in their predictions, ultimately enhancing patient care and medical decision-making. Finally, we will delve into the ethical issues inherent in the process of building, validating, deploying and making decisions through algorithmic systems.<\/p>\n<\/div>

register<\/span><\/a><\/div>

Agenda<\/h3>\n
\n

Introduction\u00a0to\u00a0AI in Healthcare:<\/b>\u00a0What\u00a0is\u00a0AI\/ML\/DL?\u00a0Importance\u00a0of\u00a0data in healthcare\u00a0AI applications.<\/p>\n

Types\u00a0of\u00a0AI Problems\u00a0in Stroke\u00a0Prediction:\u00a0<\/b>Classification, Regression, Forecasting, etc. in the\u00a0context\u00a0of\u00a0stroke\u00a0prediction.<\/p>\n

Evaluation\u00a0of\u00a0AI Models:<\/b>\u00a0Key metrics\u00a0for\u00a0evaluating\u00a0AI models\u00a0in the\u00a0context\u00a0of\u00a0healthcare,\u00a0Explanation\u00a0of\u00a0train\/test splits\u00a0and their\u00a0importance\u00a0in model\u00a0validation.<\/p>\n

Trustroke\u00a0AI Algorithms:<\/b>\u00a0Overview\u00a0of\u00a0AI algorithms\u00a0planned\u00a0for\u00a0the\u00a0project\u00a0(Tree-based models & Forecasting models)<\/p>\n

Ethical\u00a0Considerations\u00a0I:\u00a0<\/b>Explainability, Techniques for making AI models interpretable (LIME, SHAP, etc.)<\/p>\n

Ethical\u00a0Considerations\u00a0II<\/b>:\u00a0<\/b>Transparency, Fairness\u00a0& Empowerment of stakeholders<\/p>\n

Q&A\u00a0<\/b><\/p>\n<\/div>

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