Professor in Biomedical Image Analysis, Erasmus MC and TU Delft & Founder and Scientific lead, Quantib
Wiro Niessen is professor in Biomedical Image Analysis at Erasmus MC and TU Delft His interest is in optimally exploiting the rich information in biomedical (imaging) data using data science techniques. Focus areas are improved diagnosis and prognosis of neurodegenerative and cardiovascular disease, and treatment guidance in oncology, He is member of the Royal Netherlands Academy of Arts and Sciences, fellow of the MICCAI Society, board member of NWO-TTW and Chief Technology Officer of Health RI. In 2015 he received the Simon Stevin Master award. He is founder and scientific lead of Quantib BV, an AI company in medical imaging.
Title: "How big data and AI facilitate precision medicine: the medical imaging perspective"
The combination of big data and artificial intelligence are dramatically increasing the possibilities for prevention, cure and care, and are changing the landscape of the healthcare system. Medical imaging will play a central role in this revolution, and is one of the first domains in medicine in which these techniques are being employed. Among the AI techniques, machine learning, and especially deep learning is a disruptive technology in this field, impacting medical image acquisition, reconstruction, analysis, and image-based diagnosis and prognosis.
In this presentation I will show the opportunities and challenges of big data analytics with AI techniques in medical imaging, also in combination with genetic and clinical data. Both conventional machine learning techniques, such as radiomics for tumor characterization, and deep learning techniques for studying brain ageing and prognosis in dementia, will be addressed. Also the concept of deep imaging, a full integration of medical imaging and machine learning, will be discussed. Finally, I will address the challenges of how to successfully integrate these technologies in daily clinical workflow.
Frame Cancer Therapeutics