Jan-Jaap Visser

Jan-Jaap Visser is a researcher in the Department of Radiology & Nuclear Medicine at Erasmus MC, Rotterdam, Netherlands. He is actively contributing to the advancement of medical imaging through research in radiomics, artificial intelligence, and diagnostic imaging technologies.

His research interests center on the application of artificial intelligence in radiology, with a focus on radiomics, MRI, CT imaging, and computer-aided diagnosis systems. He explores how AI can improve diagnostic accuracy, support clinical decision-making, and enhance patient understanding of radiological findings.

Recent publications highlight his work in deep learning for brain metastasis analysis, GPT-4 for patient comprehension of radiology reports, AI in musculoskeletal tumor imaging, radiomics practice guidelines, and validation of commercial CAD systems for lung nodule detection. These works reflect a strong trend toward integrating AI into clinical radiology workflows with attention to validation and standardization.

• No scientific awards were mentioned in the provided text.

Jan-Jaap Visser has supervised academic work, as indicated by the 'Supervised Work (2)' tag, though specific student names are not listed. He collaborates extensively with researchers across institutions and contributes to national and international initiatives in radiological informatics. There is no mention of specific grants, but his publication output suggests active research funding.

He is involved in research networks related to radiomics and AI in imaging, likely participating in collaborative teams focused on medical image analysis and informatics at Erasmus MC.