BioAge Assessment System

Artificial intelligence-based platform for real-time body analysis and health insights generation. The system processes 3D scanning data to provide quantitative body composition and posture assessment metrics.

An artificial intelligence-based analytical system that processes health screening data to generate personalized health assessments and recommendations. The module synthesizes information from multiple diagnostic inputs for comprehensive health evaluation.

User-friendly for government agencies, enterprises, academic institutions, fitness and beauty centers, hospital and medical facilities, and other organizations to manage posture health related data and status for target populations as applicable.

Integrated software module for pediatric bone age evaluation. Combines imaging data analysis with normative growth standards. Supports skeletal maturity assessment for endocrinological evaluation.

Integrated digital platform for employee health assessment using facial scanning technology. Delivers personalized health insights and wellbeing recommendations based on clinically-validated biomarker data.

AI-powered posture assessment system that analyzes 20 body posture parameters from three photographs in 3 seconds without radiation or physical contact. Provides automated detection of spinal curvature, shoulder asymmetry, forward head posture, and kyphosis for use in clinical screening, rehabilitation centers, occupational health programs, and population health surveillance.

AI-powered cardiovascular risk assessment system that analyzes patient data to identify and stratify cardiac risk factors. Integrates clinical parameters and diagnostic indicators to support evidence-based clinical decision-making and preventive cardiology interventions.

AI-powered health screening platform utilizing multimodal optical imaging and computational biology models to predict health status across multiple dimensions. Integrates genomic, RNA, cellular, and phenotypic data with large language models for non-invasive assessment of biomarkers, blood glucose, blood pressure, and body composition. Consolidates multiple traditional diagnostic devices into a single intelligent system for clinical health monitoring and risk stratification.

Software solution that processes body assessment data to generate personalized health and wellness recommendations. Utilizes machine learning algorithms to identify patterns and provide evidence-based insights.

AI-powered computational biology models for non-invasive health prediction and screening. Integrates multimodal optical imaging with machine learning algorithms to analyze genomic, RNA, and cellular biomarkers for disease risk assessment. Applications include oncology prediction, metabolic profiling, and rapid health screening in clinical and occupational health settings.

mai:BoneAge is an AI-powered medical solution designed to support bone age assessment through hand X-ray image analysis. Based on the Greulich–Pyle (GP) method, it provides up to three ranked bone age predictions to improve accuracy and efficiency compared to conventional assessment methods. The solution delivers analysis results within seconds with a single click and highlights key regions using heat maps to support bone age interpretation. physicians can add their own observations alongside AI-generated results, allowing clinical judgment to be reflected in the final assessment. mai:BoneAge also offers the AI Bone Age Assessment Report, which visualizes bone age results and predicted height in graph form, helping facilitate clearer communication between physicians and patients and supporting overall care quality.

AI-powered health data analytics platform for precise health assessment and risk prediction. Processes cloud-based health data to generate clinical insights and personalized health recommendations.