Kevin Groot Lipman

Technical Physician, The Netherlands Cancer Institute, NKI, Netherlands

As technical physician with expertise in artificial intelligence and medical imaging, Kevin Groot Lipman combines technical knowledge with medical insight to advance healthcare technology. Graduating from the University of Twente with a specialization in Technical Medicine—Medical Imaging & Intervention—Kevin laid a strong foundation for his research and clinical implementation work.

Early in his career, he gained hands-on experience at prestigious institutions like the Netherlands Cancer Institute and Massachusetts General Hospital. These internships allowed him to apply deep learning techniques to complex medical imaging challenges, setting the stage for future contributions.

Kevin conducted his PhD research at the Netherlands Cancer Institute, focusing on developing AI algorithms to streamline the evaluation of respiratory diseases. One of his AI models is already implemented at the institute, demonstrating the practical impact of his research. His expertise also led to a visiting researcher position at the University Hospital of Zurich, where he conducted external validation of his AI models.

His notable achievements include:

  • Co-leading the aiEMBRACE project. Secured a €1.5 million Public-Private-Partnership grant aimed at enhancing and validating AI applications in breast imaging.
  • Personal grant from NVALT. Awarded €70,000 by the Dutch Pulmonologists Society to further his studies in respiratory disease evaluation.
  • Academic prize. Achieved second place in the University of Twente’s Best Master Thesis for Technical Medicine competition for his research.
  • Clinical workflow integration: Integrated locally developed AI models into clinical workflows, improving patient follow-up through the ARTIMES project.

Kevin initiated a research direction exploring visual foundational models for radiology. By creating robust embeddings of radiological images to enhance AI’s diagnostic capabilities, his research can potentially lead to transforming diagnostic practices and automate radiology reporting. He serves as the chairman of the young club of the European Society of Medical Imaging Informatics (EuSoMII), where he aims to strengthen collaboration among early-career clinical and technical professionals in the medical imaging field.