Artificial intelligence in interventional radiotherapy (brachytherapy): Enhancing patient-centered care and addressing patients’ needs

IF 2.7 3区医学 Q3 ONCOLOGY

Clinical and Translational Radiation Oncology Pub Date : 2024-09-22 DOI:10.1016/j.ctro.2024.100865

Bruno Fionda , Elisa Placidi , Mischa de Ridder , Lidia Strigari , Stefano Patarnello , Kari Tanderup , Jean-Michel Hannoun-Levi , Frank-André Siebert , Luca Boldrini , Maria Antonietta Gambacorta , Marco De Spirito , Evis Sala , Luca Tagliaferri

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引用次数: 0

Abstract

This review explores the integration of artificial intelligence (AI) in interventional radiotherapy (IRT), emphasizing its potential to streamline workflows and enhance patient care. Through a systematic analysis of 78 relevant papers spanning from 2002 to 2024, we identified significant advancements in contouring, treatment planning, outcome prediction, and quality assurance. AI-driven approaches offer promise in reducing procedural times, personalizing treatments, and improving treatment outcomes for oncological patients. However, challenges such as clinical validation and quality assurance protocols persist. Nonetheless, AI presents a transformative opportunity to optimize IRT and meet evolving patient needs.

查看原文本刊更多论文

介入放射治疗（近距离放射治疗）中的人工智能：加强以患者为中心的护理，满足患者需求

这篇综述探讨了人工智能（AI）在介入放射治疗（IRT）中的应用，强调了人工智能在简化工作流程和加强患者护理方面的潜力。通过对 2002 年至 2024 年期间的 78 篇相关论文进行系统分析，我们发现了轮廓塑造、治疗计划、结果预测和质量保证方面的重大进展。人工智能驱动的方法有望缩短手术时间、实现个性化治疗并改善肿瘤患者的治疗效果。然而，临床验证和质量保证协议等挑战依然存在。不过，人工智能为优化 IRT 和满足不断变化的患者需求提供了一个变革性的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical and Translational Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

5.30

自引率

3.20%

发文量

114

审稿时长

40 days