Stein Michael J, Rohrich Rod
Manhattan Eye Ear and Throat Hospital, New York, NY, USA.
Dallas Plastic Surgery Institute and Private Practice, Dallas, TX, USA.
Plast Surg (Oakv). 2025 May;33(2):312-317. doi: 10.1177/22925503231210873. Epub 2023 Nov 1.
Technological innovation has fueled an evolving landscape in plastic surgery. Recently, artificial intelligence (AI) has demonstrated tremendous potential in enhancing our diagnostic ability, automating data acquisition for research purposes, and supplementing our intraoperative decision-making. Over the last two decades, advancements in AI enhanced pre- and intraoperative management of plastic surgery patients. However, the demand to keep plastic surgery patients out of hospital during the COVID-19 pandemic has recently inspired important AI innovations in postoperative care, such as telemedicine and remote patient monitoring. As we transition into the post-COVID era of medicine, these novel technologies will be critical in enhancing patient safety and satisfaction, while reducing rising healthcare costs. Herein, we review the basic principles of AI in plastic surgery and illustrate its significance in remote postoperative monitoring.
技术创新推动了整形外科领域的不断发展。最近，人工智能（AI）在提高我们的诊断能力、实现研究目的的数据采集自动化以及辅助我们进行术中决策方面展现出了巨大潜力。在过去二十年中，人工智能的进步改善了整形外科患者的术前和术中管理。然而，在新冠疫情期间让整形外科患者避免住院的需求，最近激发了术后护理方面重要的人工智能创新，比如远程医疗和远程患者监测。随着我们步入医学的后新冠时代，这些新技术对于提高患者安全性和满意度、同时降低不断上涨的医疗成本至关重要。在此，我们回顾人工智能在整形外科中的基本原理，并阐述其在远程术后监测中的重要性。
