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Applied Artificial Intelligence (AI) in healthcare

Karolinska Institutet
Clinical Neurotechnology
About this course

This course will elevate your AI proficiency, preparing you to actively engage in the digital evolution of healthcare. It offers a comprehensive perspective on the healthcare shift, steered by medical necessities, and bolstered by innovative artificial intelligence solutions.

Learning outcomes

Artificial intelligence (AI) affects and changes various aspects of society and its activities. Healthcare is also at the beginning of this transformation. The potential use of AI technologies in healthcare needs healthcare professionals with knowledge of AI to enable interactive and explanatory AI and ensure the quality of AI-based systems to increase patient safety. Knowledge of AI is also important for people involved in decision-making, procurement and implementation of AI-based systems. The course introduces and provides basic knowledge about artificial intelligence (AI) and its application in health care.

After completing the course, the student should be able to:

  • Describe different AI methods and their strengths and limitations
  • Compare and select relevant AI methods for the development of AI applications in healthcare
  • Reason about legal conditions and ethical challenges in AI
  • Reflect on obstacles and driving factors for how AI-based solutions can be applied in healthcare
Prerequisites for participation

A Bachelor's degree or a professional degree equivalent to a Swedish Bachelor's degree of at least 180 credits in health care, medicine or engineering sciences. 

Necessary language skill
English
Semester(s) in which the module takes place
Spring 2024
Course type
Lecture + Practical + Seminar
Course level
Masters
Course start date
15 Jan 2024
Course end date
01 Jun 2024
Apply between
Application start date
28 Dec 2023
-
Application end date
09 Jan 2024
Organisational type
The course uses different learning activities, such as online lectures, seminars, interactive sessions live and online, study visits and individual project work.
Teaching mode
Online
Workload in ECTS
15
Graded
Yes
Person in charge of module
Farhad Abtahi
Email address
farhad.abtahi@ki.se
Local module ID
2QA338