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Speakers: Dr. Dragi Kocev and Dr. Panče Panov, department of Knowledge Technologies of the Jozef Stefan Institute, Ljubljana, Slovenia.
Abstract: In this talk, we will discuss the concepts of trust and trustworthiness in AI for its implementation in brain stroke research. These concepts are central to ensuring seamless integration of AI into healthcare practice. In this context, the critical subject of data harmonization and analysis in brain stroke research, highlighting the importance of reliable and trustworthy resources. Data harmonization, in a broad sense, involves the systematic process of bringing together diverse datasets from multiple sources and ensuring their compatibility and comparability through standardization, normalization, and integration techniques. The successful implementation of data harmonization hinges on the utilization of reliable and trustworthy resources, which are essential for maintaining data integrity, ensuring accuracy, and upholding ethical standards throughout the process. Brain stroke, a leading cause of disability and mortality worldwide, presents a complex landscape of data that demands precise harmonization and analysis to yield meaningful insights. We will explore the challenges and opportunities in collating and harmonizing diverse datasets, including clinical, imaging, and genomic data, to facilitate comprehensive stroke research.
Organizing partner: Jozef Stefan Institute, Ljubljana, Slovenia. Department of Knowledge Technologies (http://kt.ijs.si/)
Acknowledgment: This Open webinar is part of the TRUSTroke Project (www.trustroke.eu/ @Trustroke_EU)
Trustroke received funding from the European Union´s Horizon “Health 2022 STAYHLTH-01-two-stage” program under grant agreement No 101080564.
Moderator: Dr. Carlos Molina, head of the Stroke Unit of the Hospital Universitari Vall d'Hebron. Head of group Stroke research of the Vall d'Hebron Institut de Recerca (VHIR)
Register here to attend by Zoom: https://gencat.zoom.us/webinar/register/WN_ddxGRfGcTD2KH7NhIj05JQ
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