With rapid advancements in medicine and engineering technologies, the operating room has evolved to a highly complex environment, where surgeons take advantage of computers, endoscopes and robots to perform procedures with more precision while less incision. Intelligence, together with its authorized cognitive assistance, smart data analytics, and automation, is envisaged to be a core fuel to transform next-generation robotic surgery in numerous known or unknown exciting ways. In this talk, I will present ideas, methodologies and applications of image-based robotic surgery intelligence from three perspectives, i.e., AI-enabled surgical situation awareness to improve surgical procedures, AI-powered large-scale data analysis to enhance surgical education, AI-driven multi-sensory perception to achieve surgical subtask automation.
Dr. Qi DOU is an Assistant Professor with the Department of Computer Science & Engineering at The Chinese University of Hong Kong. Her research interest lies in the interdisciplinary area of AI for healthcare with expertise in medical image analysis and robot-assisted surgery towards the goal of advancing disease diagnosis and intervention via machine intelligence. In this area, Dr. Dou has published over a hundred publications with Google Scholar citations 19000+ and H-index 55. Her research outputs have won a number of distinguished best paper awards including MedIA-MICCAI'17 Best Paper Award, IEEE ICRA 2021 Best Paper Award in Medical Robotics. Dr. Dou received IEEE Engineering in Medicine & Biology Society Early Career Award 2023. She served as Program Co-Chair of the major conferences of MICCAI, IPCAI, MIDL, and Associate Editor of top journals of Medical Image Analysis and IEEE Transactions on Medical Imaging.
Please help us plan ahead by registrating for the event via Zoom:
Zoom Registration
.
What? | Image-based Robotic Surgery Intelligence |
---|---|
Who? | Qi Dou, Chinese University of Hong Kong & T Stone Robotics |
When? | October 4th 2023 @ 11am |
Where? | DKFZ Communication Center (seminar rooms K1+K2), Im Neuenheimer Feld 280 |
Registration | Zoom Registration |