人工智能在放射肿瘤学中的反应预测和个性化应用。

IF 2.7 3区医学 Q3 ONCOLOGY

Strahlentherapie und Onkologie Pub Date : 2024-08-30 DOI:10.1007/s00066-024-02281-z

Alex Zwanenburg, Gareth Price, Steffen Löck

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引用次数: 0

摘要

人工智能（AI）系统可通过评估复杂、多方面的患者数据，预测肿瘤和正常组织对放疗的反应，从而实现个性化放疗。在此，我们将介绍三代不同的人工智能系统，即基于预处理数据的个性化放疗、反应驱动放疗和动态优化放疗。最后，我们将讨论放疗个性化人工智能系统在临床应用中面临的主要挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Artificial intelligence for response prediction and personalisation in radiation oncology.

查看原文本刊更多论文

Artificial intelligence for response prediction and personalisation in radiation oncology.

Artificial intelligence (AI) systems may personalise radiotherapy by assessing complex and multifaceted patient data and predicting tumour and normal tissue responses to radiotherapy. Here we describe three distinct generations of AI systems, namely personalised radiotherapy based on pretreatment data, response-driven radiotherapy and dynamically optimised radiotherapy. Finally, we discuss the main challenges in clinical translation of AI systems for radiotherapy personalisation.

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来源期刊

Strahlentherapie und Onkologie 医学-核医学

CiteScore

5.70

自引率

12.90%

发文量

141

审稿时长

3-8 weeks

期刊介绍： Strahlentherapie und Onkologie, published monthly, is a scientific journal that covers all aspects of oncology with focus on radiooncology, radiation biology and radiation physics. The articles are not only of interest to radiooncologists but to all physicians interested in oncology, to radiation biologists and radiation physicists. The journal publishes original articles, review articles and case studies that are peer-reviewed. It includes scientific short communications as well as a literature review with annotated articles that inform the reader on new developments in the various disciplines concerned and hence allow for a sound overview on the latest results in radiooncology research. Founded in 1912, Strahlentherapie und Onkologie is the oldest oncological journal in the world. Today, contributions are published in English and German. All articles have English summaries and legends. The journal is the official publication of several scientific radiooncological societies and publishes the relevant communications of these societies.