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Artificial Intelligence in Mental Healthcare

Karolinska Institutet
Clinical Neurotechnology
About this course

The purpose of the course is to introduce the topic of artificial intelligence (AI) in mental healthcare focused on theoretical development, ethics and practical application informed by a scientific approach.

Learning outcomes

The student will after completed course be able to understand opportunities and challenges that contemporary AI-tools offer in context of clinical psychology and psychiatry, including:

Knowledge and understanding

  • Identify strengths and limitations of man versus machine and how the clinician of tomorrow may be a combination of both
  • Articulate and discuss ethical considerations with respect to the development and implementation of AI tools
  • Describe the basic concepts of conversational agents (chatbots) for online psychotherapy
  • Give examples of machine learning applications in mental healthcare

Skills

  • Use an AI-tool to produce speech-to-text, text-to-text, text-to-visual output
  • Contribute to the development of a machine learning model
  • Present orally and in writing the strengths and limitations of that particular model
  • Communicate ethical challenges posed by clinical AI implementation examples

Approach

  • Get acquainted with suitable scientific literature in the field of AI-focused digital healthcare
  • ​Get exposed to critical quality assessment of said literature
Prerequisites for participation

A minimum of 60 credits in health care or medicine.

Necessary language skill
English
Semester(s) in which the module takes place
Spring Semester 2024
Course type
Lecture + Practical + Seminar
Course level
Masters
Course start date
03 Jun 2024
Course end date
17 Jun 2024
Apply between
Application start date
19 Feb 2024
-
Application end date
15 Mar 2024
Teaching mode
Local
Local attendance
Required
Workload in ECTS
3.0
Graded
Yes
Person in charge of module
John Wallert
Email address
john.wallert@ki.se
Local module ID
1QA142