The Vrije Universiteit (VU) Amsterdam, Amsterdam UMC - location VUmc and ACTA are setting up the VU Campus Center for AI & Health.
The purpose of the Center is both to fuel collaborations on and outside the VU campus and to increase the visibility of the research in the AI & Health area with the ultimate goal to improve healthcare by developing, implementing and evaluating AI technologies.
Across Amsterdam the center is connected to other partners (such as the UvA, CWI, etc.) through collaboration platforms such as Amsterdam Medical Data Science and Smart Health Amsterdam and the overarching collaboration in the Amsterdam AI Coalition themed “AI:Technology for People”.
To celebrate the launch of this Center, a launch event is organized with presentations of researchers in the area of AI & Health. This event is open to all with an interest in AI & Health. Please find an outline of the program below:
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Welcome + purpose of the center (Heleen Riper (VU Psychology), Mark Hoogendoorn (VU Computer Science), Marleen Huysman (VU School of Business and Economics), and Robert de Jonge (Amsterdam UMC, Clinical Chemistry))
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Opening center (Chris Polman (Executive Board Amsterdam UMC) and Mirjam van Praag (Executive Board VU))
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Keynote talk: AutoML and interpretability: powering the machine learning revolution in healthcare (Mihaela van der Schaar, University of Cambridge)
Abstract: AutoML and interpretability are both fundamental to the successful uptake of machine learning by non-expert end users. The former will lower barriers to entry and unlock potent new capabilities that are out of reach when working with ad-hoc models, while the latter will ensure that outputs are transparent, trustworthy, and meaningful. In healthcare, AutoML and interpretability are already beginning to empower the clinical community by enabling the crafting of actionable analytics that can inform and improve decision-making by clinicians, administrators, researchers, policymakers, and beyond.
This keynote presents state-of-the-art AutoML and interpretability methods for healthcare developed in our lab and how they have been applied in various clinical settings (including cancer, cardiovascular disease, cystic fibrosis, and recently Covid-19), and then explains how these approaches form part of a broader vision for the future of machine learning in healthcare.
See https://www.vanderschaar-lab.com/prof-mihaela-van-der-schaar/ for a bio.
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Talks by junior researchers at the VU Campus working on AI & Health:
* Improvement and evaluation of AI techniques for Personalized Mental Health Interventions - Marketa Ciharova (VU Clinical Psychology) and Ali el Hassouni (VU Computer Science)
* The intersection of AI and Knowledge Work: A Case Study in Radiology - Bomi Kim (VU School of Business and Economics)
* Deep Learning for Tumor Response Evaluation - Nina Wesdorp (Amsterdam UMC - Cancer Center Amsterdam)
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The session will take place online via Zoom. The link will be shared to those who registered for the event.
