【生物医学工程学院学术讲座】基于图像的智能手术机器人的创新与挑战

来源: 发布时间:2024-08-06 16:14:25 浏览次数: 【字体:


主讲嘉宾:窦琪

时间:2024年08月09日(周五)下午14:30–15:15

地点:深圳大学丽湖校区生物医学工程学院A2-517大会议室

主持人:王毅 

202408061613318635.Jpeg

主讲嘉宾简介:

    窦琪教授是香港中文大学计算机科学与工程学系助理教授,港中文智能医学与扩展现实研究所副所长,天石机器人研究所和InnoHK医疗机械人创新技术中心成员。研究方向为医学影像分析和手术机器人智能化。荣获国家教育部自然科学二等奖,国家自然科学基金优秀青年基金(港澳),IEEE EMBS Early Career Achievement Award,香港科学会青年科学家奖。带领团队在IEEE TMI, Nature Communications, Nature Machine Intelligence, NEJM AI, MICCAI, NeurIPS, ICRA等医学影像/人工智能/机器人国际期刊和会议上发表论文百余篇,谷歌总引用25000余次,文章曾获MICCAI 2022青年科学家最佳论文奖,IJCARS-MICCAI 2021和2022最佳论文奖,IEEE ICRA 2021医疗机器人最佳论文奖, IEEE TBME 2021 Prize Paper Award, MedIA-MICCAI 2017最佳论文奖等。担任MICCAI 2024, IPCAI 2023,MICCAI 2022, MIDL 2022大会程序主席成员,及IEEE TMI, Medical Image Analysis等国际期刊副编。

 

报告简介(Abstract):

    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.

分享到:
【打印正文】
×

用户登录