Sakly Houneida, Guetari Ramzi, Kraiem Naoufel, Alasbali Nada Abdulaziz, Al Agarni Ali
Center for Research on Microelectronics and Nanotechnology (CRMN), Technopole, Sahloul Sousse, Tunisia.
RIADI Laboratory, ENSI, Manouba University, Campus Universitaire de la Manouba, La Manouba, 2010, Tunisia.
J Med Syst. 2025 Jun 23;49(1):88. doi: 10.1007/s10916-025-02222-y.
The integration of wearable medical devices into surgical practice has transformed the field, enabling enhanced precision, informed decision-making, and improved patient outcomes. These devices, which include biosensors and augmented reality (AR) headsets, continuously collect and provide real-time data to support surgeons during complex procedures. A key advancement in this domain is the incorporation of artificial intelligence (AI), which enables these devices to analyze large datasets, generate predictive insights, and adapt to changing clinical scenarios, thus assisting in surgical decision-making. AI-driven analytics, combined with wearable technology, optimize surgical performance by detecting potential complications early and allowing for dynamic adjustments to surgical plans. However, widespread adoption faces challenges, including data privacy concerns, device interoperability issues, and regulatory compliance requirements. This paper presents a comprehensive review of wearable medical devices in surgery, examining their applications, limitations, and transformative role of AI in advancing surgical care. Additionally, the paper discusses strategies to overcome barriers, supporting the integration of these technologies into future surgical practices.
可穿戴医疗设备融入外科手术实践已经改变了这一领域，实现了更高的精准度、更明智的决策制定以及更好的患者治疗效果。这些设备包括生物传感器和增强现实（AR）头戴设备，在复杂手术过程中持续收集并提供实时数据以支持外科医生。该领域的一项关键进展是人工智能（AI）的融入，这使得这些设备能够分析大型数据集、生成预测性见解并适应不断变化的临床情况，从而辅助手术决策。人工智能驱动的分析与可穿戴技术相结合，通过早期检测潜在并发症并允许对手术计划进行动态调整来优化手术表现。然而，广泛采用面临挑战，包括数据隐私问题、设备互操作性问题以及监管合规要求。本文对手术中的可穿戴医疗设备进行了全面综述，审视了它们的应用、局限性以及人工智能在推进外科护理方面的变革性作用。此外，本文还讨论了克服障碍的策略，以支持将这些技术融入未来的外科手术实践。
