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CM2002 Artificial Intelligence within Biomedical Engineering and Health Systems 7.5 credits

Welcome to the course CM2002 Artificial Intelligence within Biomedical Engineering and Health Systems !

During this course you will experience various aspects of current, emerging and future healthcare challenges and trends, learn how to develop innovative technical solutions and recognise business opportunities.

Various activities include but not limited to lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on training  and collaborative project work.

By the end of this course, you will have relevant knowledge on how new technologies can tackle future challenges in healthcare, appreciate the benefits, but also understand the barriers and risks associated with the implementation of the innovative solution.

The content of the course is also part of the Professional development in the form of life-long learning to be offered to innovators and entrepreneurs, healthcare professionals, medical engineers and policy makers.

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Headings with content from the Course syllabus CM2002 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course provides theoretical and practical knowledge regarding various aspects of healthcare challenges, demands, future of work and business opportunities.

Lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on experience and discussions within biomedical engineering, biophysics, bioimaging, proteomics, genomics, neuromics, biomedical simulations and diagnostics. Moreover the course will cover biodesign thinking, clinical need identification, basic theoretical and practical use of recent innovative technologies, patent vs publication strategy, legal, IP issues and entrepreneurship

Intended learning outcomes

After passing the course, the student should have knowledge of:

  • Recent initiatives and interdisciplinary research in biomedical engineering and health systems at KTH and within other EIT partners
  • Differences and similarities between research methodology and overall innovation and entrepreneurship strategy of academic, industrial, healthcare and government body stakeholders across Europe and worldwide
  • How new technologies can tackle future challenges in medical healthcare
  • Basic theoretical and practical use of AI and entrepreneurship
  • Knowledge about the benefits, but also about the barriers and risks of AI implementation
  • How to create contacts across the disciplines and nations

Course disposition

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Literature and preparations

Specific prerequisites

Completed degree project 15 ECTS, 25 ECTS in mathematics, 15 ECTS in physics, 10 ECTS in programming and 6 ECTS in electrical engineering. Alternative, Work experience: 2 years in healthcare in medical technology, data analysis or at a research institute or regulatory institute. English 6/B.

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • PRO1 - Project, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web CM2002

Offered by

Main field of study

Medical Engineering

Education cycle

Second cycle

Add-on studies

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Dmitry Grishenkov (