Abstract: |
| Artificia Intelligence (AI) and radiomics are evolving rapidly and promises to transform the field of radiotherapy in an unprecedented way. The tremendous possibilities that Al and radiomlcs can bring to precision radlotherapy have triggered a flood of activities in the field.Particularly, with the support of big data and accelerated computation, deep learning is taking off with tremendous algorithmic innovations and powerful neural network models.Al technology has great promises in improving radiotherapy from treatment planning to treatment assessment. it can aid radiation oncologists in reaching unbiased consensus treatment planning, update practitioners, reduce professional costs, and improve quality assurance in clinical trials and patient care. Given the promising learning tools and massive computational resources that are becoming readily available, Al and radiomics will dramatically change the landscape of prevision radiotherapy research and practice soon. This presentation will give a glance of some recent advances in Al and radiomics for precision radiotherapy,together with some thoughts generated and lessons learnt from related research. |
Biography: |
Prof. Jing CAI is Professor and Associate Dean of the Faculty of Health and Social Sciences at The Hong Kong Polytechnic University, and Fellow of American Association of Physicists in Medicine(AAPM).Prof. Cai earned his PhD in Engineering Physics in 2006 and then completed his clinical residency in Medical Physics in 2009 from the University of Virginia,USA.He joined Duke University as Assistant Professor in 2009, and was promoted to Associate Professor in 2014.He joined The Hong Kong Polytechnic University in2017,and established Hong Kong's first Master Programme in Medical Physics in in 2020.He is the PI/Co-PI for more than 40 external research funds, with a total funding amount of more than 150M HK Dollars. He has published over 230 papers and 300 conference proceedings, and has mentored over 100 trainees(PhD, Postdoc, MPhil, etc.)as the supervisor. He serves on the editorial boards for several prestigious journals in the fields of medical physics and radiation oncology. |