Robotics & Machine Learning Daily News2024,Issue(Jun.3) :104-104.

First Hospital of China Medical University Reports Findings in Artificial Intell igence (Application and progress of artificial intelligence in radiation therapy dose prediction)

中国医科大学第一医院报告人工智能发现(人工智能在放射治疗剂量预测中的应用与进展)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :104-104.

First Hospital of China Medical University Reports Findings in Artificial Intell igence (Application and progress of artificial intelligence in radiation therapy dose prediction)

中国医科大学第一医院报告人工智能发现(人工智能在放射治疗剂量预测中的应用与进展)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。根据NewsRx记者从沈阳发回的新闻报道,研究表明:“(RT)放射治疗是当今癌症的主要治疗方式,为了保证患者的治疗效果,往往需要精确的剂量分布,这是一个耗费大量时间和劳力的过程。”新闻记者引用了中国医科大学第一医院的研究,“另外,由于参与者和不同机构的知识和经验差异,预测剂量往往不一致,近几十年来,人工智能(AI)h在放射治疗的各个方面得到了应用,一些产品在临床实践中得到了应用,并证实了其优越性。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Shenyang, People’ s Republic of China, by NewsRx journalists, research stated, “Radiation therapy (RT) nowadays is a main treatment modality of cancer. To ensure the therapeutic efficacy of patients, accurate dose distribution is often required, which is a t ime-consuming and labor-intensive process.” The news correspondents obtained a quote from the research from the First Hospit al of China Medical University, “In addition, due to the differences in knowledg e and experience among participants and diverse institutions, the predicted dose are often inconsistent. In last several decades, artificial intelligence (AI) h as been applied in various aspects of RT, several products have been implemented in clinical practice and confirmed superiority.”

Key words

Shenyang/People’s Republic of China/As ia/Artificial Intelligence/Drugs and Therapies/Emerging Technologies/Health and Medicine/Machine Learning/Pharmaceuticals/Radiation Therapy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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