AI and the Future of Mental Health Care | StanfordMed Matters

In this session, we bring together experts Dr. Ehsan Adeli, Dr. Nicole Martinez, and Dr. Kaustubh Supekar to discuss the innovative applications of AI in mental health care, focusing on AI's potential for diagnosis and treatment. They explore key innovations in ambient intelligence, AI-generated biomarkers, and AI therapy tools while addressing ethical issues such as bias, privacy, and equitable access. The session highlights the balance between technological advancements and the necessity of human compassion in mental health care, ensuring ethical and responsible AI integration.

[kristinbosetti]

Will you post the full transcript of the panel discussion here?

[michaelman]

This is a great discussion, balancing a forward outlook, with important challenges that need to be considered, before thinking about using AI in care. Thank you for sharing this.

[petero]

AI is a software that does not have any bias originally, data set could have some specific deficiencies OR people who train AI could have bias. Please separate software from data