Apps for Therapy - The Promise & Perils-View Presentation

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Video Summary

In this presentation by psychiatrist Manu Sharma, the focus was on exploring the potential of artificial intelligence (AI) and natural language processing (NLP) in providing mental health support through phone-based apps and chatbots. Sharma discusses the evaluation of such apps using models like the APA app evaluation model, highlighting the importance of app credibility, data privacy, and patient protection. The utilization of chatbots, which can simulate human-like conversations, is detailed along with their training processes involving deep learning and NLP to mimic therapeutic interactions. Studies evaluating specific chatbots like Wobot and VISA indicate their potential in reducing self-reported anxiety and depression in non-clinical populations. However, challenges remain, including data privacy concerns, lack of regulatory frameworks, absence of human empathy, and the risk of misdiagnosis. Sharma concludes that while AI holds promise, there is currently more peril than promise in its application within therapeutic settings, suggesting a cautious but hopeful outlook for its future role in mental health care.

Keywords

artificial intelligence

natural language processing

mental health apps

chatbots

app evaluation

data privacy

therapeutic interactions

anxiety and depression

AI in mental health