A critical introduction to the psychiatric technologies of the future
Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments.
Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry’s current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology.
Decoding Despair readers will also find:
Exploration of the patient’s journey from first symptoms to being prescribed medication Deep dive into the healthcare system and an understanding of the connections between stakeholders Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions Analysis of the potential innovations that could come first and the conditions necessary for them to occur
Decoding Despair is ideal for professionals and innovators building the future of psychiatry—as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.
By:
Mariam Khayretdinova
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions:
Height: 234mm,
Width: 160mm,
Spine: 31mm
Weight: 454g
ISBN: 9781394305933
ISBN 10: 1394305931
Pages: 288
Publication Date: 26 January 2026
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
Introduction ix Part I Psychiatry 1 Chapter 1 The Patient’s Journey 3 Chapter 2 Diagnostic Roulette 23 Chapter 3 Treatment, Pharma, and the Brain 41 Chapter 4 Psychiatry as a System 69 Part II Artificial Intelligence 91 Chapter 5 The Fundamentals of AI 93 Chapter 6 It Is All About the Data 115 Part III Innovating Psychiatry with Ai 133 Chapter 7 Innovation Starts with Data 135 Chapter 8 Revealing the Nature of Mental Disorders 159 Chapter 9 Innovations Within Reach 185 Chapter 10 Afterword or Afterworld 205 Glossary 215 Notes 231 Acknowledgments 251 About the Author 253 Index 255
Mariam Khayretdinova is CEO and Co-founder of Brainify.AI, a New York City-based neurotech start-up which specializes in using AI and machine learning to analyze brain wave activity and create personalized psychiatric care based on individual biological profiles. She holds two Master’s degrees, one in Applied Mathematics and another in Psychology from Harvard University and is currently continuing her research at the University of Cambridge, Department of Applied Mathematics and Theoretical Physics.
