The course will provide foundation knowledge in utilising artificial intelligence techniques in cancer research. The course will examine the intersection of AI technologies with cancer research and its applications in fields such as image analysis, as well as the integration of large datasets with AI technologies, and will consider the application and ethical implications of such systems.

Teaching takes place over 3 weeks in semester 2 with students attending lectures, seminars and tutorials.

None

None

Compile 3 annotated bibliographies (33.33% weighting each) ILO1-3

This course aims to:

■ Introduce students to the applications and ethical implications of utilizing artificial intelligence in cancer research. 

■ Provide understanding of integration of big data and analysis with AI, and clinical use of AI for image analysis.

■ Provide a critical appreciation for the range of AI applications available to the field of cancer research.

By the end of this course students will be able to:

1. Critically discuss available platforms, including their application and limitations, and reflect on the difference between machine learning and AI.

2. Apply knowledge of AI platforms to critically evaluate their uses in image vs data analysis

3. Critically evaluate the current uses of AI in cancer research and the ethical considerations associated with their use.

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.