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Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery
Houneida Sakly1,2, Ramzi Guetari3,4, Naoufel Kraiem5
1Center for Research on Microelectronics and Nanotechnology (CRMN), Technopole, Sahloul Sousse, Tunisia. Houneida.sakly@esiee.fr.
Abstract:
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.

