OasisLMS

This course begins August 25, 2025 with content available weekly (see schedule below).

Artificial intelligence (AI) is rapidly transforming psychiatry, introducing innovative approaches to diagnosis, treatment, and patient monitoring. This course explores the historical evolution of AI and its transformative applications in mental healthcare. Beginning with the foundational concepts of AI, from the Perceptron to modern advancements like GPT, the course provides a comprehensive overview of how these technologies have evolved to address the unique challenges of psychiatric care. A central focus is on task autonomous, agentic AI systems that support clinical workflows through scribing, diagnostic assistance, and treatment recommendations. These systems offer unprecedented potential to improve efficiency and access to care but also present significant ethical and practical challenges, particularly in interpreting and responding to complex mental health needs. Safeguards to ensure
responsible and equitable implementation will be critically discussed. The course also highlights the role of real-time data from smartphones and wearable devices in psychiatric practice. Continuous data streams, including metrics on sleep, activity, and physiological states, provide new opportunities to monitor patient well-being and predict outcomes such as mood changes or relapse risks. These applications showcase the potential of personalized, data-driven interventions while addressing critical issues such as privacy, data security, and health equity. Finally, the integration of multimodal data, including electronic health records, speech samples, and physiological biomarkers, is presented as a pathway toward precision psychiatry. The course underscores the potential of AI to synthesize diverse data sources, enabling individualized care that meets the needs of patients from diverse backgrounds and reducing disparities in mental health outcomes. By examining the historical development, current applications, and ethical implications of AI in psychiatry, this course equips participants with the knowledge to critically evaluate and responsibly implement AI tools in their clinical and research practices.

Format

4 asynchronous modules and a live panel discussion on October 7, 2025 from 3-4PM ET.

Learning Objectives:

• Describe foundational concepts of artificial intelligence, including machine learning and neural networks, as they pertain to psychiatry.
• Summarize the historical development of AI technologies, from early algorithms like the perceptron to advanced systems such as GPT, and their relevance to mental healthcare.
• Examine how AI integrates diverse data sources, such as speech samples, biometric data, and clinical notes, to enhance decision-making in psychiatric care.
• Critically evaluate the limitations, and potential risks of adopting AI/LLM-based tools in psychiatry
• Understand existing regulatory tools available to evaluate AI/Digital tools in Psychiatry.
  
  

References

1. Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt-Jepsen, M., Whelan, P., & Firth, J. (2021). The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318–335.
2. Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H. C., & Jeste, D. V. (2019). Artificial intelligence for mental health and mental illnesses: An overview. Current Psychiatry Reports, 21(11), 116
3. Abbe, A., & Nazir, S. (2021). Artificial intelligence in mental health care: Applications, challenges, and ethical implications. Asian Journal of Psychiatry, 61, 102684.

Target Audience

Medical Students, Resident/Fellows, Psychiatrists, Non-psychiatrist Physicians, Psychologists, Social Workers, Nurses, and other mental health professionals.

Instructional Level

Introductory, Intermediate

Estimate Time to Complete 

Estimated Duration: 4.0 hours
Program Start Date: September 8, 2025
Program End Date: October 7, 2025

Credit must be claimed by January 7, 2026.

Schedule:

How to Earn Credit 

Participants who wish to earn AMA PRA Category 1 Credit™ or a certificate of participation may do so by viewing the live presentation and completing the evaluation. After evaluating the program, course participants will be provided with an opportunity to claim hours of participation and print an official CME certificate (physicians) or certificate of participation (other disciplines) showing the event date and hours earned. 

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 4.0 AMA PRA Category 1 Credits™. 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. 

Instructors 

• Justin Baker, MD. 
• Manu Sharma, MD. 
• Nina Vasan, MD. 
• Steven Chan, MD.

Planners  

• Vishal Madaan, MD, APA Deputy Medical Director, Reports no financial relationships with commercial interests. 

Accessibility for Participants with Disabilities 

The American Psychiatric Association is committed to ensuring accessibility of its website to people with disabilities. Please contact the American Psychiatric Association at 202-559-3900, if you require assistance seven (7) business days prior to the start of a live webinar. 

Technical Requirements 

This internet-based CME activity is best experienced using any of the following: 

• The latest and 2nd latest public versions of Google Chrome, Mozilla Firefox, or Safari 
• Internet Explorer 11+ 

This Web site requires that JavaScript and session cookies be enabled. Certain activities may require additional software to view multimedia, presentation, or printable versions of the content. These activities will be marked as such and will provide links to the required software. That software may be: Adobe Acrobat Reader, Microsoft PowerPoint, and Windows Media Player. 

Optimal System Configuration: 

• Browser: Google Chrome (latest and 2nd latest version), Safari (latest and 2nd latest version), Internet Explorer 11.0+, Firefox (latest and 2nd latest version), or Microsoft Edge (latest and 2nd latest version) 
• Operating System: Windows versions 8.1+, Mac OS X 10.5 (Leopard) +, Android (latest and 2nd latest version), or iOS/iPad OS (latest and 2nd latest version) 
• Internet Connection: 1 Mbps or higher 

Minimum Requirements: 

• Windows PC: Windows 8.1 or higher; 1 GB (for 32-bit)/2 GB (for 64-bit) or higher RAM; Microsoft DirectX 9 graphics device with WDDM driver; audio playback with speakers for programs with video content 
• Macintosh: Mac OS X 10.5 or higher with latest updates installed; Intel, PowerPC G5, or PowerPC G4 (867MHz or faster) processor; 512 MB or higher RAM; audio playback with speakers for programs with video content