Exploring Artificial Intelligence in Psychiatric Practice
- A Live, Virtual Event
- Tuesday, April 16
- 7 AMA PRA Category 1 Credit™
Artificial intelligence (AI) is revolutionizing the field of psychiatry, offering innovative solutions to long-standing challenges. By analyzing vast amounts of data, including patient records, genetic information, and brain imaging scans, AI can assist psychiatrists in diagnosing mental health disorders more accurately and efficiently. Machine learning algorithms can identify patterns and correlations within these data sets, leading to more personalized treatment plans tailored to each individual's needs. Moreover, AI-driven predictive modeling helps in early detection of mental health issues and enables proactive interventions to prevent crises. As AI continues to advance, its integration into psychiatry promises to enhance patient care, reduce stigma, and ultimately improve mental health outcomes on a global scale.
Join us for an illuminating live event delving into the intersection of Artificial Intelligence and Psychiatry. Our comprehensive program will explore a range of topics including the evolution and application of chatbots in mental health care, offering insights into their diagnostic and therapeutic potentials. We'll provide invaluable considerations and guidance for integrating AI into psychiatric practice, ensuring ethical and effective implementation. Furthermore, our expert speakers will examine the transformative impact of AI in child and adolescent psychiatry, showcasing innovative approaches and emerging opportunities. Whether you're seeking to understand the latest advancements or aiming to leverage AI to enhance patient care, this event promises to provide essential knowledge and practical strategies for navigating the future of psychiatry in the age of artificial intelligence.
Learning Objectives
By the end of this educational activity, learners will be able to:
- Understand the basic principles of artificial intelligence and explore how chatbots are developed and function, particularly in the context of psychiatric practice.
- Examine the ethical considerations, potential risks, and best practices for the development and utilization of generative AI technologies in mental health settings.
- Identify key applications of AI in child and adolescent psychiatry, encompassing assessment, diagnosis, treatment planning, and intervention delivery.
- Explore future directions and opportunities for leveraging AI to enhance child and adolescent mental health services, including potential collaborations and areas for further research and development.
- Describe at least three challenges faced by modern psychiatry within a "latent constructs" framework.
- Compare "Big" (i.e., large-N) and "wide" (i.e., N-of-1 or single-case) approaches to studying psychiatric disorders.
- Comprehend the mechanisms of AI-powered therapy apps, including their functionality and service delivery facilitated by artificial intelligence.
- Assess the promise of therapy apps by critically reviewing the evidence regarding their efficacy and their impact on mental health care.
- Recognize the limitations of therapy apps, including challenges related to reliability, scope, and user engagement.
- Examine real-world applications and case studies of Natural Language Processing (NLP) in psychiatry, including its effectiveness, challenges, and ethical considerations in clinical practice.
- Discuss the future potential and upcoming advancements in NLP that could further enhance psychiatric assessment and therapy, promoting a deeper integration of technology in mental health services.
- Discuss strategies for integrating artificial intelligence into psychiatric services within both traditional and virtual healthcare settings.
Continuing Education Credit
In support of improving patient care, the American Psychiatric Association is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Physicians
The APA designates this live event for a maximum of 7 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Faculty and Planner Disclosures
The American Psychiatric Association adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Medical Education. Any individuals in a position to control the content of a CME activity — including faculty, planners, reviewers or others — are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.
Instructor
- Justin Baker, M.D., Ph.D., reports no financial relationships with commercial interests.
- Steven Chan, M.D., M.B.A., reports no financial relationships with commercial interests.
- Steven Hyler, M.D., DLFAPA, reports no financial relationships with commercial interests.
- Darlene King, M.D., reports no financial relationships with commercial interests.
- Monika Roots, M.D., FAPA, reports no financial relationships with commercial interests.
- Manu Sharma, M.D., FAPA, reports no financial relationships with commercial interests.
Planners
- Manu Sharma, M.D., FAPA, reports no financial relationships with commercial interests.
- Vishal Madaan, M.D., APA Deputy Medical Director, reports no financial relationships with commercial interests. 
Tuesday, April 16 | |
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8:30 – 9:30 a.m. | Making Sense of AI Chatbots with Steven Hyler, M.D., DLFAPA |
9:30 – 10:30 a.m. | Considerations & Guidance for the Use of Generative AI in Psychiatry with Darlene King, M.D. |
10:30 – 10:45 a.m. | Coffee Break |
10:45 – 11:45 a.m. | Exploring the Impact of AI in Child/Adolescent Psychiatry & Mental Health Treatment with Monika Roots, M.D., FAPA |
11:45 a.m. – 12:45 p.m. | Using AI & Machine Learning to Identify Risk for Neuropsychiatric Disorders with Justin Baker, M.D., Ph.D. |
12:45 – 1:30 p.m. | Lunch |
1:30 – 2:30 p.m. | Speech & Language Markers in Psychiatry – The NLP Revolution with Manu Sharma, M.D., FAPA |
2:30 – 3:30 p.m. | Apps for Therapy – The Promise & Perils with Manu Sharma, M.D., FAPA |
3:30 – 3:45 p.m. | Coffee Break |
3:45 – 4:45 p.m. | Integrating & Deploying AI into Clinical Services for Mental Health with Steven Chan, M.D., M.B.A. |
4:45 – 5:00 p.m. | Wrap up with Steven Chan, M.D., M.B.A. |