How to successfully and responsibly introduce AI in clinical practice; the medical imaging domain perspective

Wiro Niessen is professor in Biomedical Image Analysis and Machine Learning at Erasmus MC and Delft University of Technology. His interest is in the development, and validation of quantitative biomedical image analysis methods, and linking imaging and genetic data, to improve disease diagnosis, prognosis, and clinical decision support. He supervised 52 PhD students in these fields. He is fellow and was president of the MICCAI Society, and CTO of Health-RI, an initiative to establish a national health data infrastructure. In 2015 he received the Simon Stevin award, the largest prize in the Netherlands in Applied Sciences. In 2017 he was elected to the Royal Netherlands Academy of Arts and Sciences. In 2012 he founded Quantib, an AI company in medical imaging, where he is now scientific lead.

Data Driven Doctor, the norm!

Gabrielle Speijer (1976) is Radiation-Oncologist at the Hagahospital and founder of health innovation company CatalyzIT. She’s board member of the platforms ICT&health international/NL, HIMSS Global Future50 community after receiving an award on ‘Data Driven Doctor’. She contributes to several projects with the medical professional organization of specialists (FMS), ArtificiaI Intelligence , Thuisarts.nl, and interoperability standards Medmij (PGO)), HL7, Snomed,..

She’ll focus on ‘Data Driven Doctor, the norm!’ As digital technology is still not mainstream in the healthcare sector, it creates an unacceptable risk: healthcare professionals lack crucial information for deciding the right treatment for their patients. She experiences that clinical practice of years ago has been digitized. There’s a lack of valuable data: information of the patient that contributes to a complete picture of the health situation. These data are more than the medical information: e.g. genetics, behavior, environment and social circumstances, imposing a big impact on the disease process and health condition of the patient. She’ll take you to her dot on the horizon: doctors in the lead in close collaboration determining tomorrow’s healthcare. Of course, with all medical expertise, the patient and supported by technology. With the right mindset (warm care) and transparent collaboration of all disciplines in order to allow for the best care to the patient: medical and human.

The role of the FAIR guiding principles in a learning health system

The learning health system (LHS) is a concept for a socio-technological system that continuously improves the delivery of health care by coupling biomedical research with practice- and evidence- based medicine. Key aspects of the LHS are collecting, integrating, and analyzing data from different sources. While the increased digitalisation of healthcare is creating new data sources, these remain hard to find and use, let alone make use of as part of intelligent systems for the benefit of patients, healthcare providers, and researchers. This talk will examine recent developments towards making key parts of the LHS, such as clinical practice guidelines, Findable, Accessible, Interoperable, and Reusable (FAIR).

Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and is the co-Founder of the FAIR (Findable, Accessible, Interoperable and Reusable) principles. His research aims to develop methods and systems to enable and ensure responsible data science, particularly in the area of personalised medicine and computational drug discovery. He is the Founder and Director of the Institute of Data Science at Maastricht University and a principal investigator at the Brightlands Institute for Smart Society. His team is supported by Dutch, European, US, and other international funding organisations.

Design with AI and Data for Health and Wellbeing

Lin-Lin Chen is Dean, Full Professor and chair of Design Innovation Strategy in the Faculty of Industrial Design at Eindhoven University of Technology, the Netherlands. She is also professor in the department of Design at Taiwan Tech. She received her B.S. degree from National Cheng Kung University in Taiwan and Ph.D. from the University of Michigan at Ann Arbor, USA. She has been dean of the College of Design at Taiwan Tech from 2004 to 2010, president of the Chinese Institute of Design from 2007 to 2008, and convener for the arts (and design) area committee of Taiwan’s National Science Council from 2009 to 2011. She is the editor-in-chief of the International Journal of Design (SCI, SSCI, AHCI), past president of the International Association of Societies of Design Research (IASDR), and fellow of the Design Research Society. Her research focuses on user interfaces for the Internet of Things, design innovation strategy and aesthetics of forms and intelligence.

The mission of the Faculty of Industrial Design at Eindhoven University of Technology is “To Design Intelligent Products, Systems and Services in a Societal Context using Emerging Technologies”. It is evident that, especially in this time of Covid-19, Health and Wellbeing is one of the bigger challenges that our society is faced with. Our department is looking therefore to use emerging technologies like AI, Machine Learning and Data Science combined with our expertise in the field of Design to create systems and services that both help people in leading a healthy life and/or to actively support them in cases of chronic diseases and/or traumas. With my own combined background in the field of Design and in the field of Computer Science, I feel privileged to lead our department as a dean towards this direction. In my presentation, I will share with you the recent developments in the field of Design relating to Health and Wellbeing as well as our contribution as a department in this field.

Moving towards a citizen science approach in the era of AI

Photo: Frans Nikkels

Sabine E. Wildevuur is director at DesignLab (University of Twente). DesignLab – being student-driven by the DreamTeam – is an ecosystem at UT to experiment, pioneer and innovate to deal with the demands of a fast-changing society. Its’ goal is to translate societal challenges into research questions and practical outcomes, envisioning and exploring the interactions between society and technology and actively engaging and involving all societal partners in the process. The focus of Wildevuur at DesignLab is on citizen science, responsible design, transdisciplinary working, and the role of technology in and for society. Before UT, she set up the CARE lab at Waag, Institute for Science and Technology in Amsterdam. With the CARE team, she has been the initiator of ‘innovative’ projects within the domain of health and care and technology, in a person-centred manner. In 2000, Wildevuur founded her own company, Like Wildfire, which focused on Science & New Media and worked with organizations such as Doctors without Borders, Dutch Journal of Medicine, the Royal Netherlands Academy of Arts and Sciences (KNAW), and the United Nations Environment Programme in Nairobi, Kenya. Wildevuur has an academic background in Medicine and Communication Science (University of Amsterdam).

Cooperation to stimulate valuable AI innovation for better well-being and healthcare

Pieter Jeekel is quartermaster of the Dutch AI Coalition for Health & Healthcare and director and founder of Evodoc and The Social Health Company. Pieter has a background as eHealth entrepreneur and leader of nationwide healthcare reform programs.

In this presentation, Pieter will focus on what is necessary to bring AI to an international competitive level and how we can utilize AI optimally to ensure a valuable impact on Dutch well being and healthcare. He will discuss the Dutch AI status quo and the steps we could and maybe should take. Finally, Pieter will address the question if we can excel in certain AI fused Health(Care) areas by nation-wide cooperation.