This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Karolinska Institutet
Artificial Intelligence in Mental Healthcare
Who is the clinician of tomorrow - man and machine? Together we explore how artificial intelligence (AI) is researched and integrated into mental healthcare, particular psychiatry, to improve tailored patient care. Throughout the course we discuss ethical implications of this ongoing paradigm shift and its consequen…
- Higher education
- Information unavailable
- 2 June 2025
- Information unavailable
- Information unavailable
- 100 %
Overview
Who is the clinician of tomorrow - man and machine? Together we explore how artificial intelligence (AI) is researched and integrated into mental healthcare, particular psychiatry, to improve tailored patient care. Throughout the course we discuss ethical implications of this ongoing paradigm shift and its consequences for mental health care. The course provides a comprehensive interdisciplinary perspective on both opportunities and challenges of AI with a focus on clinical psychology and psychiatry. Using theory and real-world examples, students gain insight into the particular strengths and limitations of humans versus machines. Focus areas include conversational agents, suicide prediction, and applied machine learning for the purpose of improved tailored treatment, monitoring, and care. These topics are also studied from an ethical perspective. Lectures are supported by collaborative seminars on cutting-edge findings. Interactive workshops provide possibilities for both theoretical development and hands-on construction of AI-tools. Student performance will be assessed through group discussions, oral presentation, and written assessments.
Admission scores
Entry requirements
A minimum of 60 credits. And proficiency in English equivalent to English B/English 6.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2025-06-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.ki.1qa142.82003.20251
- Last checked
- 2026-09-23T10:37:56.839657+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.ki.1qa142.82003.20251
- Offering identity in the source
- e.uoh.ki.1qa142.82003.20251
- Education-form source code
- HS
- Education code in the source
- 1QA142
- Change time according to the source
- 2025-04-25T23:50:16
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.