The Explainable AI for Health Lab centers its research on one core theme: explainable AI for health.
To drive these advancements, the lab leverages key technical AI components, focusing primarily on:
Computer Vision
Decision Making
With a commitment to explainable systems.
The Explainable AI for Health Lab is dedicated to developing new forms of AI that lead to models that are inherently explainable as much as possible so that physicians and patients can understand why a certain prediction is made.
The lab’s mission and vision are to advance the adoption as well as clinical validation of explainable AI techniques for applications in medicine.
The impact of the lab lies in the development and tailoring of predictive techniques for decision support in palliative oncological care and gynaecological cancer care.
– Evolutionary eXplainable Artificial Medical INtelligence Engine
– creating techniques that cannot simply learn explainable models, but can do so by looking at all different forms of data at the same time
Centrum Wiskunde & Informatica (CWI) is the national research institute for mathematics and computer science.
Leiden University Medical Center (LUMC): As an innovator, the LUMC stands for the continuous improvement of healthcare and the health of all people.
Amsterdam University Medical Centers (AUMC) location AMC) is a leading medical center that combines complex high-quality patient care, innovative scientific research, and education of the next generation health care professionals.
