As global mental health challenges rise, traditional care systems are increasingly struggling to meet the growing demand for mental health support. In response, large language models (LLMs) are emerging as promising tools, offering scalable solutions that could potentially transform the future of mental health care. Join Dr Megan Jones Bell and Dr John Torous for a timely discussion on the use of AI-driven solutions to create impactful, scalable support while also addressing the risks and ethical challenges associated with their use.
Dr. Megan Jones Bell, Director of Consumer and Mental Health at Google, is a psychologist dedicated to improving mental and physical health through technology. She leads clinical guidance for Google’s health products, including Fitbit and YouTube, and founded the company’s Mental Health Center of Excellence. Previously, she was Chief Strategy and Science Officer at Headspace, transforming it into a digital mental health platform. Megan also founded Lantern, one of the first digital mental health companies, and was a Psychiatry professor at Stanford. She serves on several boards and is a Fellow of the Aspen Institute Health Innovators Fellowship.
John Torous, MD, MBI
Dr. Torous directs the Digital Psychiatry division at Beth Israel Deaconess Medical Center, affiliated with Harvard Medical School. He's a psychiatrist and faculty member, with a background in engineering and computer science. He completed his education at UC Berkeley and UC San Diego before pursuing residency and fellowships at Harvard. He's a leading figure in exploring mobile mental health technologies, with numerous publications and leadership roles in psychiatric associations and research programs. Additionally, he serves as the editor-in-chief of JMIR Mental Health.
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