Healthcare systems and providers have historically been impeded by legacy IT systems and regulations that stunt innovation and change. However, the disruption caused by the COVID-19 pandemic has forced the sector to become more agile and embrace digital transformation to meet the demands faced by the healthcare ecosystem. On 29th June, the SFI ADAPT Research Centre for AI-Driven Digital Content Technology headquartered in TCD will hold its annual ADVANCE event on Human-Centric Artificial Intelligence for Health. Data-driven decision making has become the foundation for reducing costs, enhancing operational efficiency, delivering better engagement, and improving health outcomes. Change is coming and ADAPT’s multidisciplinary research is supporting enterprises on their digital journeys. This event will have a panel of leading technical, clinical and industry experts who will delve into the promises and perils of AI in health.
Register now for live event.
Register now for virtual event. (Recording will be released on 4th July)
08:45 – 09:25 REGISTRATION AND TECHNOLOGY SHOWCASE
Light breakfast and networking
09:25 – 09:40 WELCOME
Professor Vinny Wade, Director and CEO of the SFI ADAPT Centre
09:40 – 10:05 KEYNOTE
Professor Philip Nolan, Director General of Science Foundation Ireland
Title: “Data, data infrastructures and models: lessons from the pandemic for Irish Health Information”.
10:05 – 10:45 ARTIFICIAL INTELLIGENCE IN HEALTH
Stories from the frontier.
Professor Vinny Wade, Director and CEO of the SFI ADAPT Centre: Human Centred AI – Challenges & Opportunities
Professor Dave Lewis, Head of Artificial Intelligence discipline at TCD’s School of Computer Science and Statistics: The Data Dimension – Value & Governance
10:45 – 11:30 PANEL DISCUSSION
Impact of Data and AI for Health Transformation
Chaired by Tom Molloy, Director of Public Affairs and Communications at TCD, the panel will include
11:30 – 11:45 THE AI LANDSCAPE AND ADAPT
Declan McKibben, Executive Director, ADAPT Centre
11:45 – 12:30 LUNCH AND NETWORKING