Use of AI And IOT’s to Improve Mental Health Treatment

Abstract

Medical health is a crucial issue in medical treatments and care that needs quick attention and can considerably profit from technological advancements. We believe that IoT developmental breakthroughs can have a significant impact on mental healthcare as well as how we live our daily routines. By incorporating proposed initiatives and methods of data acquisition, selection, transmission, computation, and protection, this article suggests a human-centred approach that makes use of the newest IoT wearable technologies and a securely encrypted cloud computing algorithm that may assist in enhancing the detection and treatment of mental healthcare patients. If done properly, with more in-depth study on mental health, we can anticipate seeing tremendous advancements in the very near future in the techniques used to treat and diagnose people with mental illnesses. Our focus is on developing a human-centred approach that can be turned into an engaging app with functional characteristics that can recommend various treatment options based on the condition of the patient and evidence obtained from Big Data sources using IoT sources, all while maintaining the highest level of security protection for sensitive information.