AI 中文总结
研究针对定制足部矫形器语义-物理失调问题，提出TANS-FO研究原型，通过文本对齐神经代理和图神经网络实现计算设计自动化，在数据库基础上实验，结果显示能降低峰值压力、提高舒适度，虽有初步效果但非临床疗效证据。
AI 中文摘要
将非结构化临床处方转化为患者特定的足部矫形器（FOs）存在语义-物理失调问题：高级临床意图无法确定地映射到矫形器的3D几何参数上，现有设计工作流程依赖人工专业知识且无即时生物力学验证。我们提出TANS-FO研究原型，它是用于定制FOs计算设计自动化的具有闭环反馈的模块化管道。文本对齐神经代理（TANS）利用交叉注意力将临床文本嵌入投影到连续晶格密度场，图神经网络（GNN）代理实时预测足底压力替代有限元分析（FEA）。该框架基于开放获取的PicoFoot-5K人体测量数据库。在标准化准静态加载下，GNN代理与Abaqus参考求解器吻合度高（R^2 = 0.94），完整管道几分钟内合成可制造的晶格鞋垫。在18 - 40岁男性队列中，该系统比参数化CAD的替代预测峰值压力降低34.7%，拟合误差0.42毫米。另外，一项探索性可行性观察表明短期舒适度有改善，但此数据仅为初步观察证据，非临床疗效证据。
英文摘要
Translating unstructured clinical prescriptions into patient-specific foot orthoses (FOs) is hindered by a semantic-physical misalignment: high-level clinical intent is not mapped deterministically onto the 3D geometric parameters of the orthosis, and existing design workflows remain dependent on manual expertise with no instantaneous biomechanical validation. We present TANS-FO, a research prototype-a modular pipeline with closed-loop feedback for computational design automation of customized FOs, not a clinically validated therapeutic device. A Text-Aligned Neural Surrogate (TANS) uses cross-attention to project clinical-text embeddings onto a continuous lattice-density field, while a Graph Neural Network (GNN) surrogate predicts plantar stress in real time as a substitute for Finite Element Analysis (FEA). The framework is anchored on the open-access PicoFoot-5K anthropometric database (5,230 subjects; 30+ anatomical parameters). Under standardized quasi-static loading, the GNN surrogate agrees with an Abaqus reference solver (R^2 = 0.94), and the full pipeline synthesizes manufacturing-ready lattice insoles within minutes. On the Male 18-40 cohort, the proposed system attains a surrogate-predicted peak-pressure reduction of 34.7% over parametric CAD, with a fit error of 0.42 mm. Separately, an exploratory feasibility observation (n = 12; 2-week follow-up; no control group) using VAS pain reporting indicates short-term comfort improvement (VAS 6.4 -> 2.1), but this data is explicitly classified as preliminary observational evidence only-not evidence of clinical efficacy.
