Exploring the Impact of AI in Child/Adolescent Psychiatry & Mental Health Treatment-View Presentation

Video Transcription

Video Summary

Dr. Monica Roots, a child psychiatrist and co-founder of Bend Health, discussed the impact of AI on child and adolescent psychiatry. She highlighted AI's role in early detection, diagnosis, intervention, and personalized treatment planning in mental health care. AI models, including machine learning and natural language processing, help analyze data, predict mental health risks, personalize treatment plans, and streamline healthcare operations.<br /><br />Dr. Roots emphasized AI's potential to enhance access to mental health resources due to a shortage of professionals and its applications in autism and ADHD treatment through wearable technology. Ethical concerns like privacy, bias, and generalizability challenges, alongside regulatory issues, were addressed. She underscored the need for AI to support clinicians rather than replace them, stressing the importance of balancing AI with human oversight.<br /><br />Challenges such as algorithmic bias, patient mistrust, and data privacy require careful consideration to ensure fairness and transparency of AI systems. Ongoing advancements and large-scale trials, alongside ethical considerations, are essential to harness AI's full potential in pediatric mental healthcare. Dr. Roots encouraged integration of AI into current practices and future research towards enhancing treatment outcomes.

Keywords

AI in psychiatry

child mental health

early detection

personalized treatment

wearable technology

ethical concerns

algorithmic bias

data privacy

treatment outcomes