Unit of Anesthesiology, Division of Critical Care and Pain Medicine, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Unit of General Surgery, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Minerva Anestesiol. 2022 Sep;88(9):729-734. doi: 10.23736/S0375-9393.21.16241-8. Epub 2022 Feb 14.
The application of novel technologies like artificial intelligence (AI), machine learning (ML) and telemedicine in anesthesiology could play a role in transforming the future of health care. In the present review we discuss the current applications of AI and telemedicine in anesthesiology and perioperative care, exploring their potential influence and the possible hurdles. AI technologies have the potential to deeply impact all phases of perioperative care from accurate risk prediction to operating room organization, leading to increased cost-effective care quality and better outcomes. Telemedicine is reported as a successful mean within the anesthetic pathway, including preoperative evaluation, remote patient monitoring, and postoperative care. The utilization of AI and telemedicine is promising encouraging results in perioperative management, nevertheless several hurdles remain to be overcome before these tools could be integrated in our daily practice. AI models and telemedicine can significantly influence all phases of perioperative care, helping physicians in the development of precision medicine.
人工智能（AI）、机器学习（ML）和远程医疗等新技术在麻醉学中的应用，可能在医疗保健的未来变革中发挥作用。在本综述中，我们讨论了 AI 和远程医疗在麻醉学和围手术期护理中的当前应用，探讨了它们的潜在影响和可能的障碍。AI 技术有可能深刻影响围手术期护理的所有阶段，从准确的风险预测到手术室的组织，从而提高具有成本效益的护理质量和更好的结果。远程医疗被报道为麻醉途径中的一种成功手段，包括术前评估、远程患者监测和术后护理。在围手术期管理中，AI 和远程医疗的应用具有广阔的前景，令人鼓舞，然而，在这些工具能够整合到我们的日常实践之前，仍有一些障碍需要克服。AI 模型和远程医疗可以显著影响围手术期护理的所有阶段，帮助医生开发精准医学。
