AI & Health Winter School

11th – 15th March 2024
Location: VU Amsterdam

From infectious diseases to cancer and heart disease to mental health, Artificial Intelligence (AI) has enormous potential in both research and clinical practice. AI-based tools can improve our personal health and wellbeing, streamline clinical processes, or aid in drug discovery and clinical decision making.
 
It is a fascinating but complex intersection of disciplines requiring collaboration between researchers with technical, medical and social science expertise. This Winter School aims to bring together early career researchers from these diverse disciplines, providing not only a crash course in the fundamentals of AI for Health and Health Care, but also the opportunity for interdisciplinary group work, networking and socialising.

Learning objectives
After completing this course, you will:
  • Understand the potential uses of AI in improving health and medical care
  • Understand the technical basics of commonly used AI methods in health and medical research
  • Understand end-user perspectives and the need for human-aware solutions that go beyond the purely technical questions
  • Understand the challenges around trustworthy and explainable AI, and implementation and acceptance in clinical practice
  • Have met and collaborated with like-minded researchers
The programme consists of lectures, group work and social time. Everyone is expected to contribute to the group work. On the final day, groups will briefly present/pitch their work.

In collaboration with:

 

SIKS Research School

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Stress in Action Research Programme

Practical details

  • Dates: Monday 11th until Friday 15th March 2024
  • Location: VU Campus, Amsterdam. Nearest train station: Amsterdam Zuid. Most lectures will take place in the O|2 building
  • Cost: €300
  • Credit: This course is worth 2 ECTS
  • Target group: PhD students in AI, data science, any medical discipline, (clinical) psychology or related areas. Post-docs and very advanced MSc students are welcome too.
There is a fixed rate of €300* which covers the organisational costs and includes lunches, coffee/tea and one group dinner. Accommodation and other meals are not included.

You will need to arrange your own reimbursement through your institution, if available.

*For members of the SIKS Research School: SIKS has kindly offered to cover the fee for its members (the number of available places is limited, so make sure to sign up soon!)

Registration

You can register by filling out this form. You will then receive a payment link through which to finalise your registration*. Registration is open until 23rd February 2024. Registrations may close sooner if the maximum number of participants has been reached.

We hope to see you there!

*SIKS members do not need to use the payment link. 

 

Lecturers

Martijn Schut

Martijn Schut

Professor in Translational AI in Laboratory Medicine

Annette ten Teije

Annette ten Teije

Professor in AI in Medicine

Mohammad Rezazade Mehrizi

Mohammad Rezazade Mehrizi

Associate Professor in Information Systems Management

Brenda Penninx

Brenda Penninx

Professor in Psychiatric Epidemiology

Heleen Riper

Heleen Riper

Professor in e-Mental Health & Clinical Psychology

Prabath Nanayakkara

Prabath Nanayakkara

Professor in Internal Medicine

Ilaria Tiddi

Ilaria Tiddi

Assistant Professor in Hybrid Intelligence

Matthan Caan

Matthan Caan

Assistant Professor in AI in Medical Imaging

Vincent Francois-Lavet

Vincent Francois-Lavet

Assistant Professor in Machine Learning

Emma Beauxis-Aussalet

Emma Beauxis-Aussalet

Assistant Professor in Ethical Computing

Marike van der Leeden

Marike van der Leeden

Associate Professor in Rehabilitation Medicine

Sjors in 't Veld

Sjors in 't Veld

Research Associate in Neurochemistry and Translational AI

Kakkhee Yeung

Kakkhee Yeung

Vascular Surgeon

Willem Grootjans

Willem Grootjans

Assistant Professor in Radiology

George Aalbers

George Aalbers

Research Associate in AI for Mental Health

Willem Jespers

Willem Jespers

Assistant Professor in AI & Structure Based Drug Discovery

Floris den Hengst

Floris den Hengst

Postdoctoral researcher in Reinforcement Learning for patient-centric decision making

Sjors van de Ven

Sjors van de Ven

PhD researcher in Methodology of Physiological Monitoring

Organisers

Yvonne Blokland

Yvonne Blokland

Coordinator of the VU Campus Center for AI & Health

Mark Hoogendoorn

Mark Hoogendoorn

Professor in Quantitative Data Analytics

Programme in a nutshell

  • Introductions and networking
  • State of the art in medical AI
  • Interactive panel session with AI experts and medical experts
  • Group work
Tuesday:
  • Data-driven and knowledge-driven reasoning
  • Translational AI in Laboratory Medicine
  • Foundation Models
  • Reinforcement Learning
  • Group work
Wednesday:
  • Responsible and explainable AI
  • Mental Health – Stress in Action project
  • Natural Language Processing and Covid rehabilitation
  • AI in medical imaging
  • Group dinner
Thursday:
  • End-user adoption of AI in clinical practice with examples from Radiology
  • Knowledge representation & Hybrid AI
  • Group work
Friday:
  • AI for drug development
  • Group work
  • Group presentations
  • Final reflections and discussion