datum: dinsdag 25 november 2025
tijd: 13.00 - 16.00 uur
locatie: Universiteit Twente, Enschede
Tijdens het symposium Artificial Intelligence in Medical Imaging for Oncology: implementation in clinical practice gaan experts uit wetenschap, technologie en klinische praktijk in op de snelle ontwikkelingen rondom kunstmatige intelligentie in de medische beeldvorming. Centraal staan de implementatie van AI in de oncologische zorgpraktijk en de kansen en uitdagingen die deze technologie met zich meebrengt.
De bijeenkomst biedt verdieping voor professionals die betrokken zijn bij de beoordeling, invoering of opschaling van AI-toepassingen in de oncologische beeldvorming. Aansluitend vindt de promotieplechtigheid plaats van Madelon Voets, promovendus bij Integraal Kankercentrum Nederland (IKNL) en Universiteit Twente.
Madelon Voets heeft de afgelopen jaren haar onderzoek in nauwe samenwerking met het IKNL en ZGT uitgevoerd. Haar proefschrift gaat in op beoogde inzichten en methoden om de gezondheids- en economische evaluatie van AI in medische beeldvorming te verbeteren. De studies in haar proefschrift geven inzicht in de kenniskloof ten aanzien van de snelle toename van AI-toepassingen in de gezondheidszorg, de evaluatie van de klinische variatie in borstkankerzorg en het gebruik van flexibele simulatiemodellen om de implementatie van AI in medische beeldvorming te evalueren en te optimaliseren.
Tijdens het symposium wordt in breder perspectief ingegaan op snelle ontwikkeling van AI in de medische beeldvorming, en de kansen en uitdagingen die deze technologie mee zich meebrengt voor de dagelijkse praktijk in de zorg.
Doelgroep
Het symposium is bedoeld voor:
• onderzoekers en zorgverleners,
• patiëntenverenigingen,
• bestuurders, managers en beleidsmedewerkers.
Programma
13.00 uur
Opening by the Chair
Prof. dr. S. (Sabine) Siesling, clinical epidemiologist, Professor ‘Outcomes Research and Personalized cancer care’, Universiteit Twente; Lead investigator IKNL
13.05 uur
Title: ‘Learning AI from Multi-Institutional Cancer Images’
Prof.dr.ir. Andre Dekker, Maastricht University, Maastricht UMC+ & Maastro Clinic
Explanation: AI application that analyze medical images for the diagnosis, treatment and follow-up of cancer are finding their way into routine cancer care. However, to improve performance and generalizability and to ensure these AI applications are unbiased, high volumes and enough diversity of medical images are needed. In this presentation the rationale, infrastructure and application of federated learning for imaging-based AI using data from many centers globally is discussed.
13.35 uur
Title: ‘Innovations in imaging’
Dr. Ritse Mann, Radboud UMC & NKI
Explanation: AI in breast imaging is rapidly evolving. While initial applications were mainly targeted to the detection of breast cancer on mammography, it is now present in all modalities in breast radiology. Moreover, the targets have shifted and include, besides detection, subtyping, therapy response prediction and survival analysis. Moreover, AI algorithms have evolved to include data from multiple sources and thus enable further integration of imaging into care. This presentation will discuss this shifting landscape and the potential of AI for improving breast cancer outcomes
14.05 uur
Title: "AI in Breast Imaging - from research tool to global clinical impact"
Alejandro Rodriquez-Ruiz, PhD Screenpoint Medical
Explanation: Breast imaging stands at the forefront of AI's potential to revolutionize healthcare, making breast cancer prevention, detection, and treatment more accurate and efficient. Yet translating groundbreaking AI research into impactful, real-world clinical solutions is far from straightforward. We will discuss the journey of an innovative breast AI technology developed in the Netherlands, that has already positively influenced more than 10 million women worldwide. Understanding primary drivers for AI adoption, navigating complex regulatory pathways, achieving seamless IT integrations within hospital workflows, and continuously refining solutions based on physician insights are critical to widespread adoption.
14.35 uur
Break
15.00 uur
Title: ‘the AIFI Project’
Ing Jeroen Geerdink, Innovation Manager ZGT
Explanation: With the AIFI project, ZGT aims to collaborate in order to facilitate the more efficient adoption of valuable AI software in radiology. We assess the practical implementation and integration of AI into the clinical workflow.
The AI products are made available through the Twiin portal and have been jointly procured.
The infrastructure is currently being tested in five hospitals."
15.30 uur
Title: “Using Health Technology Assessment to bring (AI-)innovations to the patient”
Prof. dr. Valesca Retel, Erasmus University Rotterdam & NKI
Health Technology Assessment (HTA) is used to identify, measure, value, and compare the consequences of new healthcare strategies
Explanation: In early development, the degree of evidence and underlying data on new technologies, organizational approaches, or treatment procedures is limited resulting in levels of uncertainty in which policy advice may be most wanted. HTA can support the adoption process in guiding research (in early stages) and reimbursement decisions (in later stages), stepwise reducing the uncertainty as mentioned above. In the presentation, several examples from clinical practice will demonstrate how HTA can support implementation of new technologies.
15.55 uur
Closure by the chairman and walk to the “Waaier” (building 15)
16.30 uur
Layman's talk Madelon Voets
16.45 uur
Public defence:
From Promise to Practice: Evaluating the Health and Economic Impact of AI in Breast Cancer Imaging Surveillance, Madelon Voets , promovendus
