在2025年消费电子展上展示的医药领域的新兴技术。

IF 1 Q3 MEDICINE, GENERAL & INTERNAL
Journal of Yeungnam medical science Pub Date : 2025-01-01 Epub Date: 2025-04-01 DOI:10.12701/jyms.2025.42.31
Jong-Ryul Yang, Min Cheol Chang
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引用次数: 0

摘要

2025年消费电子展强调了在医疗保健领域具有巨大潜力的创新技术,特别是人工智能(AI)和传感器技术。展会上展示的显著进步包括利用人工智能进行个性化健康管理的产品,比如能够推荐双耳节拍刺激的设备、分析语音模式以检测语言障碍的设备,以及通过睡眠数据分析预测血压的设备。展示了提高睡眠质量、减少打鼾和评估儿童餐卡路里含量的人工智能应用程序。然而,这些产品的准确性仍然不适合临床使用,这限制了它们在社区环境中的应用。这次展示还展示了接触式和非接触式传感器技术的进步。接触式传感器,如可穿戴环和用于测量脉搏、血糖和血压等生命体征的传感器,已经被开发出来,以减轻不适,同时保持高精度。采用雷达和远程光电容积脉搏图技术的非接触式传感器进一步证明了在没有身体接触的情况下进行生命体征监测的前景,尽管在运动过程中保持准确性仍然是一个挑战。利用微机电系统和深度学习算法的电子听诊器的开发进一步证明了人工智能与传感器的集成,以促进对心脏和呼吸声音的感知,模拟传统听诊器的功能。此外,基于激光的血糖监测和可穿戴机器人皮带的进步,旨在帮助步态,强调了旨在提高患者护理和日常生活的设备的进步。这些技术具有巨大的潜力,可以深刻改变医疗保健系统,特别是在家庭和社区环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging technologies in the field of medicine presented at the Consumer Electronics Show 2025.

The Consumer Electronics Show 2025 highlighted innovative technologies with considerable potential for healthcare, particularly artificial intelligence (AI) and sensor technologies. Notable advances that were showcased included products that leverage AI to personalize health management, such as devices capable of recommending binaural beat stimulation, analyzing speech patterns to detect language impairment, and predicting blood pressure through sleep data analysis. AI applications to enhance sleep quality, reduce snoring, and assess the caloric content of children's meals were presented. However, the accuracy of these products remains inadequate for clinical use, which limits their applications in community settings. This showcase also featured advances in both contact and noncontact sensor technologies. Contact-type sensors, such as wearable rings and sensors designed to measure vital signs, including pulse rate, blood glucose, and blood pressure, have been developed to mitigate discomfort while maintaining high accuracy. Noncontact sensors employing radar and remote photoplethysmography technologies have further demonstrated promise for vital sign monitoring without physical contact, although maintaining accuracy during movement remains a challenge. AI integration with sensors was further demonstrated by the development of an electronic stethoscope utilizing microelectromechanical systems and deep learning algorithms to facilitate the perception of heart and breath sounds, emulating the functionality of conventional stethoscopes. Furthermore, advances in laser-based blood glucose monitoring and wearable robotic belts designed to assist gait have underscored the progress in devices aimed at enhancing patient care and daily living. These technologies hold considerable potential to profoundly transform healthcare systems, particularly in home and community settings.

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