Research of AI Driven Light Health and Therapy

Wang X, Zhao Y, Ren J and Song J
 

Department of Electronic Engineering Photomedicine Laboratory, Institute of Precision Medicine, Tsinghua University, China
Department of Dermatology, School of Clinical Medicine, Photomedicine Laboratory, Institute of Precision Medicine, Tsinghua University, Beijing Tsinghua Changgung Hospital, China

^*Correspondance to: Xiaofei Wang 

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Abstract:

This article reports an experimental system of light health and therapy driven by Artificial Intelligence (AI) technology. Light health and therapy, also known as phototherapy or bright light therapy, is a therapy used to treat a variety of depression and neurodegenerative diseases, such as Seasonal Affective Disorder (SAD) and Alzheimer's Disease (AD). Light therapy affects activity, functional connectivity and plasticity of multiple brain regions by adjusting the frequency and color temperature of illuminating system. The retina converts photon into electrical signals and transmits these stimuli into central nervous system to make resonances and oscillations to boost human mood and improve cognitive function. In life science, non-imaging vision system refers to light signal projected to the higher brain region through ipRGC cell to participate in the regulation of circadian rhythm, emotion, cognition and other functions. The mechanism of this physiological phenomenon is not fully understood. This article induces AI technology to make a closed-loop experimental system to study this phenomenon.

Keywords:

Artificial intelligence; Light health and therapy; Signal processing algorithm

Cite the Article:

Wang X, Zhao Y, Ren J, Song J. Research of AI Driven Light Health and Therapy. Clin Case Rep Int. 2024; 8: 1701.