Decoding Despair

di Mariam Khayretdinova (Autore)

Wiley, 2026

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.

• Autore: Mariam Khayretdinova
• Anno edizione: 2026
• Editore: Wiley
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9781394305940