HMA812 Artificial Intelligence in Healthcare

Contents and structure

This course provides a comprehensive exploration of how Artificial Intelligence (AI) is revolutionizing the field of healthcare. It begins with an introduction to AI, its history, and its various types, including machine learning, deep learning, and natural language processing. The course then delves into the significant role of AI in healthcare, from diagnosing diseases and interpreting medical images to predicting patient outcomes and discovering new drugs.

The course also addresses the ethical considerations in AI and healthcare, such as data privacy, security, and the potential for bias in AI algorithms. It concludes with a look at the future of AI in healthcare, discussing potential applications and challenges. Hands-on projects provide students with practical experience in developing and implementing AI tools in a healthcare setting. This course is designed to equip students with a thorough understanding of the transformative impact of AI in healthcare.

The course is suitable for those with a healthcare or research background within health- or social care or relevant life science fields who have an interest in AI and its impact within the healthcare sector.

Learning Outcome

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills, and general competence:

Knowledge:
The student…

• can advanced knowledge on the basic concepts of artificial intelligence and its various types such as machine learning, deep learning and natural language processing
• can apply knowledge of artificial intelligence in healthcare, including diagnostics, drug discovery and patient treatment
• can analyse ethical considerations in AI and healthcare, including data privacy, security and the potential for bias in AI algorithms

Skills:
The student…

• can use AI concepts in real health scenarios
• can use AI tools for health applications
• can analyse ethical problems related to the use of AI in the healthcare system

General competence:
The student…

• can analyze the role and potential of AI in transforming healthcare
• can communicate about AI tools and their impact on healthcare outcome
• can apply their knowledge to keep up with developments in AI and healthcare and adapting to future trend

Entry requirements

Admitted as exchange student from a partner institution.

Bachelor's degree

Teaching methods

This course will be delivered in a fully digital format using Canvas. The course consists of interactive live sessions, pre-recorded videos, assignments, and other digital material. The student works on an assignment throughout the course to demonstrate the achievement of the learning outcomes.

Compulsory learning activities

The following compulsory active learning activities must be approved for the student to prepare for the exam:

Participation in at least 80% of the live sessions.

Assessment

Written, individual paper on 2000 +/- 10% words.

Grading scale
Passed/ not passed

New exam
When the grade not passed is given, the students can deliver an adapted version

Examination support material

All aids are permitted

More about examination support material