AI in Mental Health, data generated through personal digital devices and social media interactions

Abstract

The application of artificial intelligence and machine learning is doing wonders in the mental health sector by providing creative ways for prediction, detection as well as treatment. In this work, we investigate the many sides of AI in it. AI powered digital interventions like web or smartphone apps improve the user experience and deliver personalized mental healthcare. In addition, "digital exhaust" (data generated through personal digital devices and social media interactions) can provide important clues to individual behavior patterns and mental health. NLP in the wild So where we really get to see limited and sparse data getting transformed into something that can be inferred on are natural language processing techniques built over, basically a lot of language patterns stacked one upon the other. This has consequently contributed to the creation of complex prediction and detection models. In addition, natural language processing is being leveraged to create conversational agents for the delivery of therapy interventions. We delve into them as we explore the promise of AI in mental health care.