Neuro-Symbolic AI for Mental Healthcare

Explore the intersection of artificial intelligence and mental healthcare in this comprehensive 2-hour and 27-minute tutorial on neuro-symbolic AI. Delve into the growing importance of AI systems in mental health interventions, particularly through social media platforms. Examine how user-level classification-based AI systems leverage diverse social media data to predict mental health conditions and measure their severity. Discover the limitations of current ad-hoc schemes and the need for clinically acceptable and explainable reasoning. Learn about the infusion of clinical symbolic knowledge to improve Neural-AI systems for mental healthcare, including conversational agents. Investigate neuro-symbolic methods for enhancing interventions, such as creating specialized datasets, identifying gender-specific mental health symptoms in cardiovascular disease patients, and improving language models through clinical process knowledge infusion. Gain valuable insights into the future of AI-driven mental healthcare solutions and their potential impact on patient care and support.