Digital and Computational Psychiatry

With the growing penetration of electronic media and advancement in computational methodology including AI and Machine Learning, it is a golden opportunity to digitalize different psychiatric disorders from phenotyping to intervention. Researchers explore integrating artificial intelligence to screen out possible persons for early intervention and prevention. We have employed a wide range of computational techniques including multimodal sensing, natural language processing, speech analysis, computer vision and pattern recognition, and deep phenotyping in psychiatric research. Ecologically friendly digital platform is also utilized increasingly for psychoeducation and behavioral intervention, especially in the post-COVID era, when the unmet needs for mental health care could be safely bridged with digital tools that have become part of everyone’s daily life. We are aiming to develop a new generation of digital mental health interventions to make the treatment experience more engaging and interactive.