Artificial Intelligence in Mental Healthcare

As the healthcare industry begins to digest recent advances in artificial intelligence (AI), this book unveils the potential impact of AI on mental and behavioral healthcare. It covers existing and potential applications of AI in addition to its main subfields of machine learning (generative AI included), natural language processing (NLP), and predictive analytics.

This book navigates the intricacies of AI in all stages of the patient journey from diagnosis, treatment, and prevention, offering a holistic view of the future of mental and behavioral healthcare. It explores how AI is revolutionizing key therapeutic areas within mental health, like substance misuse, anxiety disorders, and mood disorders. It also assesses use cases in back office and non-patient-facing areas including reimbursement processes, data collection and management, and revenue cycle management. Chapters are supplemented with a variety of real-world case studies that highlight the practical implications of AI in clinical and non-clinical settings.

This work is relevant for healthcare clinicians, innovators, researchers, healthcare executives, and students navigating the intersection of AI and mental and behavioral healthcare.