Birla Meghna, Roy Prabhat Gautam, Gupta Ishaan, Malik Prabhat Singh
Department of Medical Oncology, DR. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Indian Institute of Technology (IIT), Delhi, India.
Oncology. 2025;103(1):69-82. doi: 10.1159/000540494. Epub 2024 Jul 25.
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 toward 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.
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.
AI is transforming cancer care by enhancing diagnostic, prognostic, and treatment planning tools, thus making precision medicine more effective. Wearable technology facilitates continuous, noninvasive 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.
肿瘤学中的临床决策是一个复杂的过程，受到众多疾病相关因素、患者人口统计学特征和后勤因素的影响。随着人工智能（AI）的出现，精准医学正朝着更精确和个性化的护理方向转变。可穿戴设备技术通过持续监测患者生命体征、促进早期干预和提高治疗依从性，为这一范式转变提供了补充。这些技术的整合有望提高肿瘤护理质量，使其更能响应并满足个体患者的需求，从而在临床环境中更广泛地应用此类应用。
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及其在不同方面的效用。通过多项研究举例说明了广泛的应用，并在表2中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、监管考虑因素以及利用这些技术加强癌症护理并从根本上改变全球卫生部门的未来前景。
人工智能通过增强诊断、预后和治疗规划工具来改变癌症护理，从而使精准医学更有效。可穿戴技术有助于持续、无创监测，提高患者参与度和对治疗方案的依从性。人工智能和可穿戴设备的联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、检测生物标志物以及管理治疗依从性。尽管取得了这些进展，但数据安全、隐私以及对标准化设备的需求等挑战依然存在。在可预见的未来，可穿戴技术有可能彻底改变个性化肿瘤护理，使临床医生能够在标准治疗的同时提供全面且量身定制的治疗。
