Developing transparent AI that integrates seamlessly into healthcare
My ambition is to improve patient care by creating robust artificial intelligence that is built with, and for, clinicians. Real-world impact requires bridging scientific innovation with clinical needs.
Explore My Research
Modelling • AI • Clinical Applications • Multimodal data • Neuroimaging
Radboud University Medical Center
I'm Barbora Rehák Bučková, my career spans computational biology, AI, and healthcare data, driven by a vision to create AI that doesn't just work, but matters. From my early work at the Czech Institute of Health Information and Statistics to my current research at Radboud University Medical Center, I've focused on developing methodological innovations that translate into real clinical impact.
I'm working on structured missingness in clinical data, harmonizing cognitive measures, and creating normative models of cognition to better understand individual differences.
My Fulbright Scholarship allowed me to collaborate with Christos Davatzikos at UPenn, where I developed multimodal methodologies for analyzing neuroimaging data.
During my PhD at Czech Technical University in Prague, I focused on the development of multimodal data analysis methods and development of methods for individualized inferences.
I analysed and managed clinical studies, evaluated national screening programs, and developed guidelines for implementing new screening programmes across the country.
I studied computational biology at Masaryk University in Brno, Czech Republic, where I first discovered my passion for applying computational methods to healthcare challenges.
In our latest preprint - The Art of Not Knowing: Accommodating Structured Missingness in Biomedical Research, we developed a novel framework to address structured missingness in clinical data - a critical but overlooked challenge where data gaps follow systematic patterns that violate standard imputation assumptions, leading to unreliable conclusions in multi-site studies.
As a part of the PRECOGNITION, together with Charlotte Fraza, we are developing populational normative models of cognition to improve individualized inferences in this domain.
Developing AI systems for continuous patient monitoring that integrate seamlessly with clinical workflows, addressing real-world implementation barriers in hospital settings.
Interested in collaboration, mentorship, or discussing AI in healthcare?