Key points are not available for this paper at this time.
With the help of artificial intelligence in personalized mental health, it enhances the quality and accessibility of mental health support. Mental health issues continue to be a global concern, and advancements in AI technology offer new avenues for providing tailored support to individuals seeking assistance with their mental well-being. Its purpose is to collect information from users regarding common ailments such as anxiety, depression, and stress-related problems in plain language, which may then be retrieved using natural language processing (NLP). As a result, it is critical to determine whether the individual is suffering from mental health issues or not. Once the person's mental health problem has been validated, the type of mental health disorder can be determined. Based on the information extracted, identify the disease, and offer therapy strategies. Users of this program can interact with specialists to seek guidance, which helps to alleviate anxiety, stress, and other disorders by reducing their health issues and worries. It takes a user-centric approach to mental health treatment, integrating the power of AI with personalized care.
Mathin et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: