Digital Mental Health: The Impact of Artificial Intelligence
- Continuing Education
Explore the rapidly evolving landscape of AI-enabled digital mental health tools, including their applications in diagnosis, monitoring, therapy delivery, and suicide prevention, alongside their promises and risks. Equip clinicians and other stakeholders with the knowledge to critically evaluate, responsibly implement, and effectively guide patients in using these technologies in practice.
- Live Online
This course is taught online in real time.
$260 Save with early registration
This is the standard price, for a full list of profession pricing see below.
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Fee increases to $290 after
Earn up to:
7.50 AMA PRA Category 1 Credit(s) ™
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Five Weeks
Please view the Schedule for a full description of the program.
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Overview
Digital mental health tools have burgeoned in number and popularity since the pandemic. The addition of Artificial Intelligence (AI)-based elements to these tools has led to many exciting research paths of investigation, clinical applications, as well as swift integration into widely-used digital tools and online apps. AI has been applied to diagnosis and prognosis (speech/text/behavioral signal processing), continuous monitoring (smartphone and sensor data), and automated delivery of therapeutic content including AI-driven conversational agents (chatbots) and adaptive digital psychotherapies. Society is at the beginning of a transition to AI ubiquity, which has great promise for expanding access to and improving mental health care, but also the potential for harm if not implemented and regulated responsibly.
In this rapidly-changing environment, mental health clinicians must stay current with the state of the field, decide whether and how to use these tools in their own practices, and responsibly advise their patients who may already be using them in their daily lives.
Our series will delve into these issues with leaders in the field of AI and mental health. We'll explore the current landscape of the field, applications for suicide prevention, measurement-based care, implementation of AI tools in health systems, and the role of chatbots that are already providing emotional support for many adults and teens.
Join us to boost your knowledge and skills in this important and rapidly-developing field. We welcome mental health clinicians, researchers, administrators, and others interested in a state-of-the-art update.
Learning Objectives
- Discuss the basic definitions and historical context of AI.
- List the risks and benefits of different types of AI when applied to mental health.
- Articulate the basic mechanisms of how a Large Language Model (LLM) is created.
- Summarize how generative AI could be used in applications related to mental health.
- Discuss emerging areas of research and innovation for AI in mental health.
- Review how AI can improve measurement-based care.
- Describe clinician perspectives on the use of AI tools for suicide risk prediction in the ED, and list potential pros and cons of such tools for clinical decision making.
- Identify four key domains of mental health risk associated with AI chatbot use.
Developed and Offered By:
Continuing Education courses are developed by faculty from Harvard Medical School's teaching hospitals and accredited by Harvard Medical School. This course is offered by Cambridge Health Alliance.
Schedule
All agenda sessions are in Eastern Time.
Thursday, April 9, 2026
How Artificial Intelligence is Transforming Behavioral Healthcare
12:00-12:50 pm
Discussion / Q&A
12:50-1:30 pm
Thursday, April 16, 2026
Building the Future of AI Therapy: Over 6 Years of Rigorous Development and Validation of a Generative AI Psychotherapy Chatbot
12:00-12:50 pm
Discussion / Q&A
12:50-1:30 pm
Thursday, April 30, 2026
Clinician Perspectives on AI-based Suicide Prediction in the Emergency Department
12:00-12:50 pm
Discussion / Q&A
12:50-1:30 pm
Thursday, May 7, 2026
From Fundamentals to Frontiers: AI’s Evolving Role in Mental Health Practice and Innovation
12:00-12:50 pm
Discussion / Q&A
12:50-1:30 pm
Thursday, May 14, 2026
The Artificial Third: Mental Health Risks and Benefits of AI Chatbots
12:00-12:50 pm
Discussion / Q&A
12:50-1:30 pm
Faculty
Harvard Medical School Continuing Education attracts the best and brightest faculty from all around the world. As a student in this course, you’ll have access to outstanding course directors and faculty.
Course Directors
Nicholas Carson
MD | Course Director
- Division Chief, Adolescent and Child Psychiatry, Cambridge Health Alliance
- Associate Professor of Psychiatry, Harvard Medical School
Rajendra Aldis
MD | Course Director
- Associate Medical Director of Research Informatics, Cambridge Health Alliance
- Instructor in Psychiatry, Harvard Medical School
Karen Kuc
MPH | Course Director
- Director, Continuing Education in Psychiatry, Cambridge Health Alliance
- Associate in Psychiatry, Harvard Medical School
Hannah Galvin, MD, FAAP, FAMIA, CHCIO
Chief Health Information Officer, and Interim Chief of Pediatrics, Cambridge Health Alliance
Co-Founder and Board Chair, Shift Health Care Task Force
Appointed Member, Health Information Technology Advisory Committee, Assistant Secretary for Technology Policy, U.S. Government
Healthcare Advisor, Reach Capital
Assistant Professor of Pediatrics, Harvard Medical School
Nicholas Jacobson, PhD
Associate Professor, Biomedical Data Science, Psychiatry, and Computer Science, Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College
David Mou, MD, MBA
Founder and CEO, Benchmark Health
Director of Innovations Council, Department of Psychiatry, Massachusetts General Hospital
Matthew Nock, PhD
Director and Edgar Pierce Professor of Psychology, and Chair, Department of Psychology, Harvard University
Professor of Epidemiology, Harvard TH Chan School of Public Health
Research Scientist, Mass General Hospital, Franciscan Children's, and Salem Hospital
Marlynn Wei, MD, JD
Integrative Psychiatrist and Psychotherapist in Private Practice
Speaker, Author and Expert in AI and Mental Health
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Course Fees
Registration Details
You may register through our secure online environment and will receive an email confirmation upon receipt of your payment. Prices include CME credit, electronic syllabus, and most recordings are available for 30 days after the course. At the end of the registration process, a $10 non-refundable processing fee will be added to your registration.
| Role | Course Fee | Early Registration Course Fee |
|---|---|---|
| Physician (MD/DO) | $290 | $260 |
| Nurse (RN/APRN) | $230 | $200 |
| PA | $230 | $200 |
| Psychologist | $230 | $200 |
| Resident/Fellow | $230 | $200 |
| Social Worker | $230 | $200 |
| Allied Health Professional / Other | $230 | $200 |
This program has been approved for a total of 7.50 Social Work Continuing Education hours for re-licensure, in accordance with 258 CMR. NASW-MA Chapter CE Approval Program Authorization Number D20023. NY Social Workers: Cambridge Health Alliance, Division of Continuing Education in Psychiatry is recognized by the New York State Education Department's State Board for Social Work as an Approved Provider #0038 of continuing education for licensed social workers. This course offers 7.50 contact hours.
Please note: For psychologists, social workers, marriage/family therapists and counselors, this course has been approved for a set amount of credits and CHA is not able to issue CE certificates for partial credit. Participants must be present and for all sessions to claim a certificate. For any questions regarding CE credit, please email cme@challiance.org.