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纳米技术和人工智能:术后患者护理的新兴范例。

Nanotechnology and Artificial Intelligence: An Emerging Paradigm for Postoperative Patient Care.

出版信息

Aesthet Surg J. 2023 Jun 14;43(7):748-757. doi: 10.1093/asj/sjad071.

DOI:10.1093/asj/sjad071
PMID:36944499
Abstract

BACKGROUND

An increasing number of aesthetic surgery procedures are being performed in an ambulatory fashion in office-based settings. Postoperative monitoring of these patients has historically required paid private-duty nurses measuring vital signs, encouraging ambulation, and monitoring overall comfort level. Recently, advancements in nanotechnology have permitted high-acuity data acquisition of multiple clinical parameters that can be transmitted to the surgeon's mobile device in a continuous fashion.

OBJECTIVE

The aim of this study was to describe the authors' early experience with this emerging artificial intelligence technology in the postoperative setting.

METHODS

Twenty-three consecutive patients underwent radiofrequency-assisted liposuction and Brazilian butt lift surgery, and were placed in a monitoring garment, SimpleSense (Nanowear Technologies, Brooklyn, NY) postoperatively. The primary outcome was device usability, reflected by compliance with wearing the device and completeness of data collection.

RESULTS

During the first 48 hours, 91% of patients wore the device for more than 12 hours per day. Only 39% were compliant with postoperative positioning. No postoperative events were detected.

CONCLUSIONS

The quality of data collected enables detection of clinical derangements and can alert the surgeon in real time, prompting interventions such as drug administration, position changes, or presentation to the emergency room.

摘要

背景

越来越多的美容手术以门诊的形式在办公室环境中进行。这些患者的术后监测传统上需要付费的私人护士来测量生命体征、鼓励患者走动并监测整体舒适度。最近,纳米技术的进步允许以连续的方式获取可传输至外科医生移动设备的多个临床参数的高敏度数据。

目的

本研究旨在描述作者在术后环境中应用这种新兴人工智能技术的早期经验。

方法

23 例连续患者接受了射频辅助吸脂和巴西臀部提升手术,并在术后穿着 SimpleSense(Nanowear Technologies,布鲁克林,NY)监测服装。主要结果是设备的可用性,表现为对佩戴设备的依从性和数据收集的完整性。

结果

在最初的 48 小时内,91%的患者每天佩戴设备超过 12 小时。只有 39%的患者符合术后体位要求。未检测到术后事件。

结论

所收集数据的质量能够检测到临床异常,并能实时提醒外科医生,促使其进行药物治疗、体位改变或转至急诊室等干预措施。

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