Rothman Orthopaedic Institute, Philadelphia, PA.
Rowan University School of Osteopathic Medicine, Stratford, NJ.
Prosthet Orthot Int. 2023 Aug 1;47(4):434-439. doi: 10.1097/PXR.0000000000000233. Epub 2023 Apr 14.
Physical boundaries to access skilled orthotist or hand therapy care may be hindered by multiple factors, such as geography, or availability. This study evaluated the accuracy of fitting a prefabricated wrist splint using an app on a smart device. We hypothesize that remote brace fitting by artificial intelligence (AI) can accurately determine the brace size the patient needs without in-person fitting.
Healthy volunteers were recruited to fit wrist braces. Using 2 standardized calibrated images captured by the smart device, each subject's image was loaded into the machine learning software (AI). Later, hand features were extracted, calibrated, and measured the application, calculated the correct splint size, and compared with the splint chosen by our subjects to improve its own accuracy. As a control (control 1), the subjects independently selected the best brace fit from an array of available splints. Subject selection was recorded and compared with the AI fit splint. As the second method of fitting (control 2), we compared the manufacturer recommended brace size (based on measured wrist circumference and provided sizing chart/insert brochure) with the AI fit splint.
A total of 54 volunteers were included. Thirty-two splints predicted by the algorithm matched the exact size chosen by each subject yielding 70% accuracy with a standard deviation of 10% ( p < 0.001). The accuracy increased to 90% with 5% standard deviation if the splints were predicted within the next size category. Fit by manufacturer sizing chart was only 33% in agreement with participant selection.
Remote brace fitting using AI prediction model may be an acceptable alternative to current standards because it can accurately predict wrist splint size. As more subjects were analyzed, the AI algorithm became more accurate predicting proper brace fit. In addition, AI fit braces are more than twice as accurate as relying on the manufacturer sizing chart.
获得熟练矫形师或手部治疗师的物理访问边界可能会受到多种因素的阻碍,例如地理位置或可用性。本研究评估了使用智能设备上的应用程序对预制腕夹板进行远程拟合的准确性。我们假设人工智能(AI)的远程支撑物拟合可以在无需亲自拟合的情况下准确确定患者所需的支撑物尺寸。
招募健康志愿者来贴合腕部支撑物。使用智能设备捕获的 2 个标准化校准图像,将每个对象的图像加载到机器学习软件(AI)中。随后,提取、校准和测量手部特征,在应用程序中计算正确的夹板尺寸,并与我们的研究对象选择的夹板进行比较,以提高其自身的准确性。作为对照(对照 1),研究对象从一系列可用夹板中独立选择最佳的支撑物贴合度。记录研究对象的选择并与 AI 拟合的夹板进行比较。作为第二种贴合方法(对照 2),我们将制造商推荐的支撑物尺寸(基于测量的手腕周长和提供的尺寸图表/插入式小册子)与 AI 拟合的夹板进行比较。
共有 54 名志愿者被纳入研究。算法预测的 32 个夹板与每个研究对象选择的精确尺寸相匹配,准确率为 70%,标准偏差为 10%(p<0.001)。如果夹板预测的尺寸在相邻尺寸类别内,则准确率提高到 90%,标准偏差为 5%。根据制造商尺寸图表的贴合度仅与研究对象选择的 33%相符。
使用 AI 预测模型的远程支撑物拟合可能是当前标准的可接受替代方案,因为它可以准确预测腕部夹板的尺寸。随着分析的研究对象增多,AI 算法在预测合适的支撑物贴合度方面变得更加准确。此外,AI 拟合的支撑物比依赖制造商尺寸图表的贴合度高出两倍以上。