The session reflected on how Artificial Intelligence (AI) is increasingly seen as revolutionising healthcare through early detection, enhanced diagnosis, personalised treatment, and predictive power. The speakers explored several of the many challenges to the installation of AI in the landscape. The challenges included the needs to: access and integrate a wide variety of quality data from areas such as biomarkers, genomics, images, wearables, and PREMs and PROMs; create structural collaborations between healthcare organisations and industry; and build an appropriate environment to develop, test and validate algorithms.
🗣️ Speakers
► Session introduction
Andrea Jester, NSBproject s.r.l., Italy
► Is AI the magic tool to normalise data ?
Benny Van Bruwaene, BT computing, Belgium
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► How to be sure AI delivers its promise?
Dr. Tal Patalon, Head of KSM, Maccabi Healthcare Services Research and Innovation Center, Israel
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► The TEF-Health: a new ecosystem for AI implementation
Prof. Petra Ritter, Charité, TEF-Health Coordinator, Germany
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► Co-creating innovative AI in a European Project around dementia
Aris Tsitiridis, UBITECH, Greece
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