将AI运动医学与健康观测技术相结合，实现从体测到健康管理的全周期智能服务。 Combining AI sports medicine with health monitoring technology for full-cycle smart services from assessment to health management.
六大核心技术，构建全方位健康观测体系 Six core technologies building a comprehensive health monitoring system
基于多光谱扫描技术，精准分析体脂率、肌肉量、骨密度、水肿程度等18+项身体成分指标。 Multi-spectrum scanning for precise analysis of 18+ metrics — body fat, muscle mass, bone density, edema level.
综合多项健康指标，AI算法预测心血管疾病、代谢综合征等风险等级，提供早期预警。 Multi-metric AI assessment predicting cardiovascular disease, metabolic syndrome risk levels for early warnings.
长期健康数据趋势分析，可视化呈现身体变化曲线，及时发现异常波动并预警。 Long-term health data trend analysis with visualized body change curves, detecting and alerting on abnormal fluctuations.
辅助分析X光、CT、MRI等医学影像，标记异常区域，提供初步诊断建议。 Assistive analysis of X-ray, CT, MRI images — marking abnormal areas, providing preliminary diagnostic suggestions.
自动生成专业级健康报告，包含详细指标解读、改善建议和追踪方案。 Auto-generated professional health reports with detailed metric interpretation, improvement suggestions, and tracking plans.
支持对接医院HIS系统、体检中心数据平台，实现健康数据互联互通。 Integration with hospital HIS systems and health center data platforms for seamless health data exchange.
四步完成从数据采集到健康管理 Four steps from data collection to health management
通过AI光透析仪、体测一体机等硬件设备，快速采集用户身体成分、运动能力等基础数据。 Rapid collection of body composition and fitness data via AI light therapy analyzers and body assessment kiosks.
大模型对采集数据进行深度学习分析，识别异常指标，评估健康状况，生成初步诊断结论。 Deep learning analysis of collected data — identifying anomalies, assessing health status, generating preliminary diagnostics.
自动输出专业级健康观测报告，包含指标解读、风险提示和个性化改善方案。 Auto-output of professional health monitoring reports with metric interpretation, risk alerts, and personalized improvement plans.
建立用户健康档案，定期追踪数据变化，动态调整健康管理方案，形成闭环服务。 Building user health profiles with regular data tracking and dynamic plan adjustments for closed-loop service.