An Empirical Study to Detect Mental Wellness Through Artificial Intelligence: A Promising Approach for Timely Intervention

Abstract

The field of mental health has witnessed growing recognition of the importance of early detection and intervention in promoting overall well-being and preventing the progression of mental disorders. In recent years, artificial intelligence (AI) has emerged as a powerful tool with the potential to revolutionize mental healthcare by enabling timely identification of individuals at risk and facilitating early intervention. This research paper explores the role of AI in the early detection of mental wellness, examining its applications, benefits, challenges, and future implications.

The paper begins by highlighting the significance of early detection in mental health through biomarker feedback captured through contactless AI computer vision-based vital monitoring systems. The paper highlights the critical finding of mental wellness through clinical trials conducted in the presence of a competent practitioner. After a thorough analysis of the data set, researchers have concluded that the heart rate and BP-Systolic are the major variables that affect the mental stress index.