Journal: Current Psychiatry Research and Reviews
Guest editor(s): Parul Agarwal
Co-Guest Editor(s): Ahmed J. Obaid, ,

Introduction

COVID-19 has greatly impacted the mental lives of people of all ages across the world. People whether infected with COVID or not have exhibited stress and anxiety and this has impacted their day-to-day lives. Increased digitalization, job pressures, health issues, and other factors have led to stress and mental issues. This special issue invites articles that perform extensive literature surveys, identify research gaps, and propose algorithms/models that use Artificial Intelligence for mental health diagnosis and treatment. It offers varied tools and techniques that can enhance the diagnosis of mental ill health. Analysing large datasets for identification of symptoms, and early detection, its predictive capabilities can be harnessed to prevent suicide and other mishappenings. Personalized treatment plans further can offer support to the patients. Besides, ethical issues, and ensuring privacy of data remain a challenge.

Keywords

artificial Intelligence, Machine Learning, Deep learning, mental health impact, electronic health records, security and privacy

Sub-topics