Exer AI

Exer AI 是一个临床平台，能够将患者的运动转化为关于肌肉骨骼和运动障碍护理的客观数据。临床医生可以在诊所、远程医疗或患者在家时使用它，捕捉步态、运动范围和运动形式，无需佩戴传感器或额外硬件。

该平台在手机、平板电脑和网络摄像头上运行，利用训练于大量运动数据集的专有神经网络。分析在设备端边缘进行，因此医疗提供者在评估和远程监测时可以获得实时反馈。公司将其定位为一种临床决策支持工具，旨在增强临床医生的判断而不是取代它。

Exer Labs 为骨科医生、物理治疗师、神经科医生、初级保健团队、老年生活运营商和健康计划开发产品。Mayo Clinic 与 Exer 在手部和手腕疾病相关协议方面合作，软件已注册为FDA二类医疗器械。”}}istrate the purpose of the platform, as well as its key features and collaborators. The platform aims to provide objective data on patient movement to aid in the diagnosis and treatment of musculoskeletal and motion disorders. Key features include real-time feedback during assessments and remote monitoring, running on common devices like phones, tablets, and webcams using neural networks trained on large motion datasets. Collaborators include Mayo Clinic, orthopedic surgeons, physical therapists, neurologists, primary care teams, senior living operators, and health plans. It is also registered as an FDA Class II medical device. The platform positions itself as a clinical decision support tool that augments clinician judgment. The company behind it is Exer Labs. The software is designed to facilitate clinical assessments, remote monitoring, and research in musculoskeletal and movement disorder care. The platform's use of proprietary neural networks and edge analysis allows for efficient, real-time data capture and analysis without additional hardware. Collaborations involve developing protocols for specific conditions like hand and wrist disorders. The goal is to improve diagnostic accuracy, treatment, and patient outcomes in mobility-related healthcare. The platform exemplifies the integration of AI and telehealth in clinical practice to enhance healthcare delivery for musculoskeletal and movement disorder patients. The company's extensive collaborations and the FDA registration reflect recognition and validation of the platform's clinical utility and safety. Ultimately, this platform aims to revolutionize how clinicians assess and monitor patient movement, making such evaluations more objective, accessible, and efficient. The platform is designed to be user-friendly and accessible, providing valuable data to clinicians in real-time, whether in clinics or remotely, thus supporting better patient care and treatment decisions. The collaboration with Mayo Clinic and the registration as an FDA device further establish its credibility and potential for widespread adoption. The overarching goal is to leverage AI technology to improve clinical outcomes in musculoskeletal and motion disorder care, making assessments more accurate and accessible.