将人工智能驱动的可穿戴技术融入肿瘤决策:叙述性综述。

IF 2.5 3区 医学 Q3 ONCOLOGY Oncology Pub Date : 2024-07-25 DOI:10.1159/000540494
Meghna Birla, Rajan, Prabhat Gautam Roy, Ishaan Gupta, Prabhat Singh Malik
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引用次数: 0

摘要

背景:肿瘤学的临床决策是一个复杂的过程,受到众多疾病相关因素、患者人口统计学和后勤考虑因素的影响。随着人工智能(AI)的出现,精准医疗正朝着更加精确和个性化的方向转变。可穿戴设备技术通过持续监测患者生命体征、促进早期干预和改善治疗依从性,对这一模式转变起到了补充作用。这些技术的整合有望提高肿瘤治疗的质量,使其更能响应和满足患者的个性化需求,从而使此类应用在临床环境中得到更广泛的实施。摘要:这篇综述文章探讨了可穿戴设备和人工智能在肿瘤学中的整合,探讨了它们在患者监测、治疗优化和研究进展中的作用,并概述了已完成的临床试验和在不同方面的实用性。表 2 总结了迄今为止完成的所有临床试验。此外,我们还讨论了实施过程中的挑战、监管方面的考虑以及利用这些技术加强癌症护理和彻底改变全球卫生部门的未来前景:人工智能正在通过增强诊断、预后和治疗规划工具改变癌症治疗,从而使精准医疗更加有效。可穿戴技术有助于进行持续、无创的监测,提高患者的参与度和对治疗方案的依从性。人工智能和可穿戴设备的结合使用有助于监测患者活动、评估虚弱程度、预测化疗耐受性、检测生物标记物和管理治疗依从性。尽管取得了这些进步,但数据安全、隐私和标准化设备需求等挑战依然存在。在可预见的未来,可穿戴技术将为个性化肿瘤治疗带来巨大的变革潜力,使临床医生在提供标准治疗的同时,还能提供全面的定制治疗。
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Integrating AI-driven Wearable Technology in Oncology Decision Making: A Narrative Review.

Background: Clinical decision-making in oncology is a complex process influenced by numerous disease-related factors, patient demographics, and logistical considerations. With the advent of Artificial Intelligence (AI), precision medicine is undergoing a shift towards more precise and personalized care. Wearable device technology complements this paradigm shift by offering continuous monitoring of patient vitals, facilitating early intervention, and improving treatment adherence. The integration of these technologies promises to enhance the quality of oncological care, making it more responsive and tailored to individual patient needs, thereby enabling wider implementation of such applications in the clinical setting.

Summary: This review article addresses the integration of wearable devices and AI in oncology, exploring their role in patient monitoring, treatment optimization, and research advancement along with an overview of completed clinical trials and utility in different aspects. The vast applications have been exemplified using several studies and all the clinical trials completed till date have been summarized in table 2. Additionally, we discuss challenges in implementation, regulatory considerations, and future perspectives for leveraging these technologies to enhance cancer care and radically changing the global health sector.

Key messages: AI is transforming cancer care by enhancing diagnostic, prognostic, and treatment planning tools, thus making precision medicine more effective. Wearable technology facilitates continuous, non-invasive monitoring, improving patient engagement and adherence to treatment protocols. The combined use of AI and wearables aids in monitoring patient activity, assessing frailty, predicting chemotherapy tolerance, detecting biomarkers, and managing treatment adherence. Despite these advancements, challenges, such as data security, privacy, and the need for standardized devices persist. In the foreseeable future, wearable technology can hold significant potential to revolutionize personalized oncology care, empowering clinicians to deliver comprehensive and tailored treatments alongside standard therapy.

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来源期刊
Oncology
Oncology 医学-肿瘤学
CiteScore
6.00
自引率
2.90%
发文量
76
审稿时长
6-12 weeks
期刊介绍: Although laboratory and clinical cancer research need to be closely linked, observations at the basic level often remain removed from medical applications. This journal works to accelerate the translation of experimental results into the clinic, and back again into the laboratory for further investigation. The fundamental purpose of this effort is to advance clinically-relevant knowledge of cancer, and improve the outcome of prevention, diagnosis and treatment of malignant disease. The journal publishes significant clinical studies from cancer programs around the world, along with important translational laboratory findings, mini-reviews (invited and submitted) and in-depth discussions of evolving and controversial topics in the oncology arena. A unique feature of the journal is a new section which focuses on rapid peer-review and subsequent publication of short reports of phase 1 and phase 2 clinical cancer trials, with a goal of insuring that high-quality clinical cancer research quickly enters the public domain, regardless of the trial’s ultimate conclusions regarding efficacy or toxicity.
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