Artificial Intelligence in Behavioral and Mental Healthcare, Second Edition, focuses on modern developments in AI and their specific application in mental health practice and research. AI technologies are transforming how mental and behavioral health care is provided and conducted. This updated edition summarizes recent advances in artificial intelligence in mental health clinical practice and research. Each chapter provides a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and use limitations. New to this edition are chapters on topics such as machine learning in clinical and research settings, workflow efficiency through task automation, and how AI can be used to aid in precision health and medicine. This book will be helpful to mental health practitioners interested in learning about or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. This book helps solve the problem of disparate, non-specific, or overgeneralized information by consolidating need-to-know information in one comprehensive reference volume specific to behavioral and mental health. - Includes new chapters on topics such as machine learning, precision medicine, and how to use AI for workflow efficiency - Uses practical examples across diverse settings and clinical applications - Emphasizes ethics, safety, and best practices that enable the reader to use or develop these technologies in optimal ways - Offers a comprehensive overview of updated AI technologies and their applications to the field - Delivers historical context, highlighting the current state of technologies