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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Postgraduate, Professional Practice & Development, and Professional Reference
Illustrationen
9 s/w Tabellen
9 Tables, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-032-93288-0 (9781032932880)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Shivan Bhavnani is a healthcare investor focused on reshaping mental-health care. As a Partner at Evio VC, he backs early-stage companies innovating in mental healthcare. He also founded GIMBHI, an independent research institute whose insights have appeared in Nature, Axios, Business Insider, Entrepreneur, and Bessemer Venture Partners.
A regular speaker at global health-tech conferences, Shivan has served as strategic advisors at various startups and organizations including One Mind Accelerator, ReKlame Health, and others. Over the past decade, Shivan has worked across venture capital, biotech, and credit.
Shivan earned an MBA from Duke University and a BA from Wesleyan University. Additionally, he completed an innovation fellowship at Columbia Psychiatry. He is also a Chartered Alternative Investment Analyst (CAIA).
Ryan McKim, Psy.D. is a Venture Advisor to Innovative Growth Capital within GIMBHI's advisor network, where he guides founders on capital strategy and market access for breakthrough mental-health technologies. A seasoned health-tech operator and investor with more than two decades in the sector, he has helped scale digital-therapeutic, neurotechnology, and psychedelic-medicine startups from seed through commercialization.
Alongside his investment work, Ryan remains an active clinician. Currently serving as supervisor for Marin County's substance use treatment program for adults with complex co-occurring Substance Use Disorders and Serious Mental Illness, as well as a private Integrative Psychiatry Clinic, and formerly the Department of Psychiatry at California Pacific Medical Center, where he delivered comprehensive neuropsychological evaluations and evidence-based interventions for adults with neurodegenerative and CNS disorders, TBI, and mood disorders. His dual perspective-clinician and venture capitalist-allows him to translate rigorous neuroscience into scalable products that improve patient outcomes. He has contributed to the development of early digital therapeutics for executive dysfunction as part of clinical research into neuroplasticity for veterans with TBI while at the San Francisco VA in addition to providing court-ordered forensic evaluations for youth in the juvenile justice system.
Ryan earned his Psy.D. in Clinical Psychology with an emphasis in Neuropsychology from the California Institute of Integral Studies. He completed residency training at California Pacific Medical Center including post doctoral specializations in Neuropsychology, Cognitive Rehabilitation and Health Psychology and holds a bachelor's degree from Duke University.
About the authors
Acknowledgements
1. Artificial Intelligence in Healthcare
2. Mental Healthcare Patient Journey & AI Use Cases
3. Ethical Challenges
4. Opportunities in Prevention
5. Biological & Neural Approaches to Diagnosis
6. Behavioral & Language-Based Approaches to Diagnosis
7. Artificial Intelligence in Psychiatric Treatment
8. The Modern Frontier of Artificial Intelligence in Mental Healthcare