Enhancing Mental Health With Artificial Intelligence: Current Trends And Future Prospects (1 credit hour)

Program Summary:  This course explores current AI trends and future prospects for enhancing mental health.  The course examines the tranformative role of AI in mental healthcare and highlights applications in diagnosis, treatment, therapy delivery, monitoring, and follow-up.  Current examples of AI tools are provided, including chatbot-based therapy, emotional health apps, and smart mental health tools.  Strengths, limitations, and ethical considerations are discussed.

This course is recommended for social workers and counselors and is appropriate for beginning and intermediate levels of practice.  

Reading:  Enhancing Mental Health With Artificial Intelligence:  Current Trends And Future Prospects Authors:  David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, Aanuoluwapo Clement David-Olawade, Fiyinfoluwa Asaolu, Judith Eberhardt Publisher: Journal of Medicine, Surgery, and Public Health

“Book  Open the Course Reading Here.

Course Objectives:  To enhance professional practice, values, skills and knowledge by exploring current trends for enhancing mental health with artificial intelligence

Learning Objectives:  Identify current trends and future prospects for enhancing mental health with artificial intelligence.  Describe the role of AI in diagnosis, treatment, therapy delivery, and monitoring.  Describe strengths, limitations, and ethical considerations.

Course Available Until: April 30, 2029.

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1: AI would potentially
 
 
 
 
2: Which of the following can identify nuanced changes in an individual's emotional condition by examining social media posts, chat logs, or written diaries?
 
 
 
3: When users search for depression-related terms on Google, this tool prompts users to complete the Patient Health Questionnaire-9, a clinically validated questionnaire and provides guidance on seeking professional help if necessary.
 
 
 
 
4: Which of the following uses AI to analyze vast genetic and chemical information datasets to identify potential drug candidates for mental health conditions such as schizophrenia and bipolar disorder?
 
 
 
 
5: Which of the following employs a chatbot that has handled millions of conversations and provided support during moments of crisis?
 
 
 
 
6: Which of the following is an online counseling platform that utilizes AI to match patients with licensed therapists?
 
 
 
 
7: Which of the following is a wearable device that employs AI to monitor sleep patterns, activity levels, and physiological metrics like heart rate variability?
 
 
 
 
8: Which of the following addresses questions of human-AI interaction?
 
 
 
 
9: Which of the following addresses questions of data ownership and obtaining informed consent from patients?
 
 
 
 
10: Which of the following addresses questions of bias and fairness?
 
 
 
 

In order to purchase or take this course, you will need to log in. If you do not have an account, you will need to register for a free account.

After you log in, a link will appear here that will allow you to purchase this course.

Review our pre-reading study guide.

G.M. Rydberg-Cox, MSW, LSCSW is the Continuing Education Director at Free State Social Work and responsible for the development of this course.  She received her Masters of Social Work in 1996 from the Jane Addams School of Social Work at the University of Illinois-Chicago and she has over 20 years of experience.  She has lived and worked as a social worker in Chicago, Boston, and Kansas City.  She has practiced for many years in the area of hospital/medical social work.  The reading materials for this course were developed by another organization.

Course Available Until: April 30, 2029.
Filed under: Clinical, Technology