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Current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy
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作者 Wing-Yan Ip fu-ki yeung +3 位作者 Shang-Peng Felix Yung Hong-Cheung Jeffrey Yu Tsz-Him So Varut Vardhanabhuti 《Artificial Intelligence in Medical Imaging》 2021年第2期37-55,共19页
Artificial intelligence(AI)has seen tremendous growth over the past decade and stands to disrupts the medical industry.In medicine,this has been applied in medical imaging and other digitised medical disciplines,but i... Artificial intelligence(AI)has seen tremendous growth over the past decade and stands to disrupts the medical industry.In medicine,this has been applied in medical imaging and other digitised medical disciplines,but in more traditional fields like medical physics,the adoption of AI is still at an early stage.Though AI is anticipated to be better than human in certain tasks,with the rapid growth of AI,there is increasing concerns for its usage.The focus of this paper is on the current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy.Topics on AI for image acquisition,image segmentation,treatment delivery,quality assurance and outcome prediction will be explored as well as the interaction between human and AI.This will give insights into how we should approach and use the technology for enhancing the quality of clinical practice. 展开更多
关键词 Artificial intelligence Medical physics RADIOTHERAPY Image acquisition Image segmentation Treatment planning Treatment delivery Quality assurance
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