Ayontika Das

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About

Ayontika Das is an emerging researcher at the intersection of artificial intelligence and mental health, whose work is gaining traction for its potential to transform clinical care. Her most-cited paper, "Application of Artificial Intelligence in Mental Health" (2023), has already garnered 9 citations, signaling early impact in a rapidly evolving field. In this work, Das explores how machine learning and natural language processing can be harnessed to detect, diagnose, and monitor mental health conditions, offering scalable solutions to bridge gaps in traditional therapy and assessment. Her contributions focus on developing AI-driven tools that analyze speech patterns, social media activity, and behavioral data to identify early signs of depression, anxiety, and other disorders. By emphasizing ethical considerations and data privacy, Das ensures her research remains both innovative and responsible. Her work is particularly notable for its practical applications, aiming to make mental health support more accessible, especially in underserved communities. As a rising voice in digital psychiatry, Ayontika Das is poised to shape how technology complements human-centered mental health care, with her foundational paper already inspiring further studies in AI-assisted diagnostics.