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Epigenetic age biomarkers and risk assessment in adult spinal deformity: a novel association of biological age with frailty and disability.表观遗传年龄生物标志物与成人脊柱畸形的风险评估:生物年龄与虚弱和残疾的新关联。
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Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?大语言模型:基于人工智能的聊天机器人是脊柱手术患者信息的可靠来源吗?
Eur Spine J. 2024 Nov;33(11):4135-4143. doi: 10.1007/s00586-023-07975-z. Epub 2023 Oct 11.
3
The future landscape of large language models in medicine.医学领域大语言模型的未来前景。
Commun Med (Lond). 2023 Oct 10;3(1):141. doi: 10.1038/s43856-023-00370-1.
4
Large Language Model-Based Chatbot vs Surgeon-Generated Informed Consent Documentation for Common Procedures.基于大语言模型的聊天机器人与外科医生生成的常见手术知情同意书文档。
JAMA Netw Open. 2023 Oct 2;6(10):e2336997. doi: 10.1001/jamanetworkopen.2023.36997.
5
Performance evaluation of an AI-based preoperative planning software application for automatic selection of pedicle screws based on computed tomography images.基于计算机断层扫描图像的人工智能术前规划软件应用程序用于自动选择椎弓根螺钉的性能评估。
Front Surg. 2023 Sep 11;10:1247527. doi: 10.3389/fsurg.2023.1247527. eCollection 2023.
6
Augmented reality in spine surgery - past, present, and future.脊柱外科中的增强现实:过去、现在和未来。
Spine J. 2024 Jan;24(1):1-13. doi: 10.1016/j.spinee.2023.08.015. Epub 2023 Sep 1.
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The Current and Future State of AI Interpretation of Medical Images.医学图像人工智能解读的现状与未来发展态势
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Future Data Points to Implement in Adult Spinal Deformity Assessment for Artificial Intelligence Modeling Prediction: The Importance of the Biological Dimension.用于人工智能建模预测的成人脊柱畸形评估中未来需纳入的数据点:生物学维度的重要性
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A vision transformer for decoding surgeon activity from surgical videos.一种从手术视频中解码外科医生活动的视觉转换器。
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10
Association of telomere length with risk of complications in adult spinal deformity surgery: a pilot study of 43 patients.端粒长度与成人脊柱畸形手术并发症风险的关联:43 例患者的初步研究。
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通过多模态人工智能实现成人脊柱畸形手术的个体化。

Personalizing adult spinal deformity surgery through multimodal artificial intelligence.

机构信息

Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, USA.

Department of Neurological Surgery, University of California, San Francisco, USA.

出版信息

Acta Orthop Traumatol Turc. 2024 Mar;58(2):80-82. doi: 10.5152/10.5152/j.aott.2024.23215.

DOI:10.5152/10.5152/j.aott.2024.23215
PMID:39128041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11181199/
Abstract

To achieve meaningful, patient-centered outcomes following adult spinal deformity (ASD) surgery, it is crucial to engage in precise preoperative planning, perform excellent intraoperative execution, and ensure careful postoperative management. The field of multimodal artificial intelligence (AI) is rapidly developing and should be integrated into the management of ASD patients. In this context, we outline the current concepts and explore future applications of AI across the ASD care continuum. Cite this article as: Azad TD, Vattipally VN, Ames CP. Personalizing adult spinal deformity surgery through multimodal artificial intelligence. Acta Orthop Traumatol Turc., 2024;58(2):80-82.

摘要

为了在成人脊柱畸形(ASD)手术后取得有意义的、以患者为中心的结果,精确的术前规划、卓越的术中执行和仔细的术后管理至关重要。多模态人工智能(AI)领域正在迅速发展,应该将其整合到 ASD 患者的管理中。在这种情况下,我们概述了 AI 在 ASD 护理连续体中的当前概念,并探讨了未来的应用。引用本文:Azad TD,Vattipally VN,Ames CP。通过多模态人工智能实现成人脊柱畸形手术的个性化。土耳其骨科创伤杂志,2024;58(2):80-82。