It is 70 years since the development of artificial intelligence.

Artificial intelligence is integral to everyday modern life, such as facial recognition security, auto-brightness adjustment, camera filters, language translation and voice recognition.

Apart from the above, big data collection and analysis for predictive modelling of equipment and techniques are in the era of artificial intelligence. Artificial intelligence enables process automation of rule-based and highly repetitive tasks, as well as decision making required huge amounts of complex data such as interpretation of body composition and risk assessment of diseases.

Input variables in the predictive equations for body composition include impedance by bioelectrical impedance analysis, sex, age, ethnicity, and anthropometric data. Anthropometric data can be calculated from point cloud-based 3D human body reconstruction technology. This technology is commonly used in mobile apps for body composition estimation which calculates anthropometric data from the front and side view body images with a smartphone camera and then estimates body composition information using artificial intelligence techniques.

        Apart from imaging technology, artificial intelligence technique is best suited to discovering non-linear relationships in big data. StarBIA sets its goals to incorporate the latest artificial intelligence into its leading-edge body composition technologies to develop the most accurate and precise body composition algorithms and validates the results with clinical trial data.