TechMed Summer School
3 – 6 July 2023

Programme Thursday 6 July 2023
TECHMED & AI
Barriers and drivers for the clinical applicability of AI
Time: 9:00 – 17:00 & evening program
Chairs: Dr. Sesmu Arbous & Siri van der Meijden, MSc
What are state-of-the-art applications of AI in healthcare and what challenges are there in the implementation process? How can we prepare for a future in which we acquire knowledge from data and implement this in clinical practice? What ethical aspects are in play when we want to apply AI in clincial practice? After this day, you’ll have your toolbox filled with tools for the successful implementation of AI in healthcare from a clinical, technological, social and ethical perspective.
This programme is preliminary.
09:00-9:15
Dr. Sesmu Arbous, intensivist and Director of MSc Technical Medicine, LUMC
Sesmu Arbous will kick-off this day by lining out the clinical context of using AI in the medical field: the challenges that lie ahead in terms of implementation,
09:15-09:25
Drs. Siri van der Meijden, Technical physician, PhD candidate Clinical applicability of AI at LUMC and Healthplus.ai
What is AI and what steps are needed in order to apply it safely clinically? Siri van der Meijden will briefly explain the core context of developing, validating and implementing AI in the hospital.
09:25-09:55
Danny van Rijn, COO at Autoscriber
Autoscriber is one of the promising companies that works on developing and scaling AI for healthcare. With the use of natural language processing (NLP), Autoscriber aims to support physicians in their administrative workload and therefore have more time for their patients. Danny is COO of Autoscriber and will give a short introduction on NLP and how it will impact healthcare, and will present Autoscriber’s challenges in bringing AI to clinical practice.

09:55-10:25
Dr. Paul Elbers, intensivist and Associate Professor of Intensive Care Medicine, Amsterdam UMC, location VUMC
How to get advanced models from bytes to the bedside of critically ill patients.
Paul Elbers is intensivist and associate professor of intensive care medicine at the Amsterdam UMC and is chair elect of the data science section of the European Society of Intensive Care Medicine. Paul Elbers has extensive (research) experience in co-developing state-of-the-art AI solution at his department, and will present his work on implementing an antibiotic treatment decision support tool and other clinical applications of AI in his field.
10.25 – 10:45

10:45-11:15
Drs. Bas Becker , PhD candidate Organizational Science at Vrije Universiteit Amsterdam
Numerous studies highlight the potential advantages of clinical decision support systems (CDSS) in enhancing medical decision-making in laboratory settings. However, when CDSS are implemented in real-world care environments, such systems struggle to deliver on their intended promises, likely due to flawed expectations of clinical reality used to inform CDSS design. Such expectations are fuelled by notions that medical decision-making processes unfold in a structured, linear, and predictable fashion, a perspective incongruent with the dynamic nature of real-world medical decision-making. In the talk, I share insights about decision-making in ICU care after spending 26 months observing and interviewing physicians and nurses performing their daily work. By offering a renewed understanding of the ‘anatomy’ of medical decision-making in the ICU, we will conclude by discussing its implications for CDSS and AI technology design.

11:15-11:45
Dr. Tanja Alderliesten, Associate Professor at Leiden University Medical Center, department of Radiation Oncology
In this presentation, I will share our multidisciplinary journey that started with the identification of challenges in the clinical practice of internal radiation therapy that we wanted to overcome, and next took us from obtaining funding, performing the required research, and finally to implementation in clinical practice.
At the basis of this journey lies a collaboration between the national research institute for mathematics and computer science in the Netherlands (CWI: Centrum Wiskunde & Informatica), the Amsterdam UMC – location AMC, and industry partner Elekta. With financial support from the Dutch Research Council (NWO: Nederlandse Organisatie voor Wetenschappelijk Onderzoek) and Elekta, we successfully developed an AI-based treatment planning approach for internal radiation therapy for prostate cancer.
In a follow-up project, funded by the Dutch Cancer Society and Elekta, we are further developing and extending our AI-based approach to cervical cancer treatment. Clinical translation potential will be studied through nation-wide validation studies.
12:00 – 13:00

13:00-13:30
Simone Cammel, Cloud Customer Engineer Data Analytics and AI @ Google Cloud-Innovation for Good
With a background in the LUMC, bringing AI to the patient bedside, and now a Data & AI Specialist for Google, Simone will take us through the existing challenges and solutions of bringing clinical AI into the real world, outside of a research setting. Taking the best practices from Google’s own AI methodology and applying those to the healthcare domain. We will also look at the future of AI in medicine, with the rise of the Large Language Models such as ChatGPT that bring a new technical disruption.
13:30-14:15
Martine de Vries
14:15 – 14:30
14:30 – 14:45
Dr. André Krom
14:45-16:30
Dr. André Krom, Martine de Vries
In this interactive afternoon, we will participate in a workshop on the ethics that are involved in designing, developing and implementing AI for healthcare.
17:00
TechMed Summer School at Leiden
Are you looking for an inspiring Summer School, combining Technical and Medical Science?
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3 – 6 July 2023
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LUMC, Leiden The Netherlands