Advances in artificial intelligence (AI) are transforming the way mental health is assessed and treated, offering new pathways into psychopathology. Machine learning, natural language processing, and data-driven modeling can reveal patterns in behavior and emotion that were previously difficult to detect. By augmenting clinical expertise with computational insight, AI holds the potential to deepen diagnostic accuracy and expand access to mental health care while also raising important ethical and interpretive questions about the role of technology in understanding the human mind. AI-Driven Insights Into the Depths of Psychopathologies explores the intersection of AI and mental health disorders. It delves into AI-driven insights into psychopathologies, combining theoretical principles with practical applications to provide a comprehensive understanding of how AI can be used in the context of mental health disorders. Covering topics such as machine learning, neuroscience, and substance disorders, this book is an excellent resource for psychologists, graduate and postgraduate students, psychiatrists, academicians, researchers, and more.