An AI integrated IoMT approach for modern psychological health

Artificial Intelligence (AI) rapidly changes many industries, and its foray into mental health care is no different. It carries great latent to change the very way mental health facilities are presently carried; however, any deployment must consider ethical considerations and a sense of responsibility. The journey must navigate existing bottlenecks with an eye on the future to harness the promise of AI on the Internet of Medical Things (IoMT) in extending and improving mental health provision in terms of access, further effectiveness, and integrity-Good for the individual as well as for society. This paper presents a brief survey on the current challenges with mental stress faced by humans, especially the stress with the present generation adolescence group. Psychological health is more important than financial wealth in the current era, thereby proposing a methodology based on the amalgamation of intelligence and internet of medical things which can help in identifying stress and risk at the earlier stages. Health information can be understood with the support of sensors in their smart devices, those shall be taken to study about a person and to determine their stress level with the integrated approach of AI and IoMT. Further, random forests are used to classify and predict the mental risks. The intent of the proposed model is to assist in enhancing safety and supporting preventive measures to overcome their mental issues and assist to have a happy and pleasant life, that may facilitate interventions associated with reduced mortality risk with the support of advanced technologies. The proposed framework was evaluated using the dataset considered, indicating its potential applicability for identifying real-time risk scenarios. Random forest models were evaluated to classify and predict stress levels related to potential health risks. The results specify that the methodology may provide insights that could support stress monitoring and broader well-being initiatives.