The second form of guidance focuses on MRI imaging and concerns the role of AI in steering imaging technology to support medical interventions. For example, AI can automatically control MRI to track devices such as biopsies more quickly. This makes treatment faster and more accurate.
Henkjan Huisman believes that it is important that his research has social value. “My team and myself, the ultimate goal is to improve patient care. In the short term, we are working in the opposite direction to ensure that all our research contributes to society, using proven methods such as the NWO impact pathway.
Looking ahead, Huisman foreshadows a massive change in healthcare through AI. “Even with 35 years of experience in medical AI research, keeping up with current developments in the field is a challenge. By mid-2025, the best AI is already consistent with professional level performance in many medical domains. Potential outcomes are important. I think healthcare is not yet ready for patients moving from Dr. Google's mediocre advice to Dr. Chatgpt's excellent advice. According to Huisman, both AI assessment and monitoring are essential, but better organizations are needed.
Career
Henkjean Huissmann We studied Delft's electrical engineering, specialized in medical imaging. After graduating he joined the Department of Radboudumc. In 1998 he received his PhD in a study on the analysis of liver tumor tissue using ultrasound (Title of the paper: In vivo ultrasound tissue characterization of liver metastases). In addition to his career at Radboudumc, Huisman holds positions nationally and internationally in a variety of academic institutions and businesses. From 2004 to 2010, he was a consultant for U-Systems in the United States. From 2021 to 2024, he worked as a professor of medical imaging AI at the Norwegian University of Science and Technology. Huisman is also a member of the AAPM Computer Aided Diagnostics Steering Committee and is a Taskforce 273 on CAD assessments, quality assurance and training papers. He is also a part of the ACR's PI-RADS Guidelines Committee on Prostate MRI AI.
sauce: Radboud University
