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Virtual Reality Technology, AI, and Biosensing - Converging to Transform Mental Healthcare

TALK OVERVIEW This presentation provides an overview of how Virtual Reality, AI, and Biosensing Technologies are converging and elaborates on how this will impact behavioral medicine and mental healthcare. We know from decades of clinical research that VR/AR technology can provide breakthrough solutions that address the most challenging problems in behavioral medicine and mental healthcare - such as Anxiety Disorders, Depression, Schizophrenia, Autism, ADHD, and Addictions. When combined with Machine Learning and Biosensing technology, Virtual Reality and related technologies can improve behavioral medicine's clinical measurements and assessments by making them more objective and functional. Personal health and wellness can be improved using Virtual Reality and related technologies to promote healthy lifestyles and reduce stress and anxiety. As the cost of healthcare rises, this confluence of emerging technology will be used as the foundation for next-generation telemedicine platforms to reduce care delivery costs, improve clinical efficiency, and reach previously underserved populations. SPEAKER Walter Greenleaf, Ph.D. Behavioral Neuroscientist, Stanford University MODERATOR Margot Dorothy Paul Psy.D. Clinical Psychology Postdoctoral Fellow, Stanford University School of Medicine Chapters: (00:03:39) - Introductions (00:09:58) - Looming Healthcare Crisis and Demographic Shift (00:12:54) - Role of Digital Health Platforms and AI in Analysis (00:15:50) - Shift in Digital Health Delivery and Perceptions (00:20:01) - Precision Patient Management and Reducing Clinical Burdens (00:32:56) - Precision Mental Health and Wellness with VR (00:36:38) - Therapeutic Interventions in Mental Health Care (00:38:43) - Risks, Concerns, and Ethical Considerations (00:41:07) - Understanding the Impact on Healthcare Ecosystem (00:45:38) Q&A section.