ENN662 Machine Learning in Healthcare

Building on content in prior AI and Machine Learning units, this unit will explore advanced machine learning topics and AI in the context of healthcare. It focuses on real-world clinical and medical applications, data challenges, and relevant models. Topics include performance, deployment and monitoring for screening, diagnosis, prognosis, and treatment monitoring; AI for medical science; natural language processing; computer vision & medical image analysis for radiology. You will learn about how AI technologies is transforming healthcare, how it is used in clinical practice and review the AI specific challenges, principles and research implications. You will also learn about the risk and framework to ensure the responsible use of AI in medical context.

Unit information

Unit code: ENN662
Faculty: Faculty of Engineering
School/Discipline: School of Electrical Engineering and Robotics
Study area: Engineering
Credit points: 12

Dates and locations

Teaching period	Dates	Locations
Semester 2, 2026	20 July 2026 - 13 November 2026	Gardens Point
Semester 2, 2027	19 July 2027 - 13 November 2027	Gardens Point

See all available class timetables for this unit

Fees

Commonwealth supported place (CSP) student contribution amount: 2026: $1,192
Domestic fee-paying student fee: 2026: $5,364
International student fee (excluding study abroad students): 2026: $8,052

Guide to fees

Commonwealth supported place (CSP) student contribution amount

For Australian citizens, permanent visa holders and permanent humanitarian visa holders, and New Zealand citizens who study this unit:

as part of a QUT course and are eligible for a Commonwealth supported place (CSP)
as a cross-institutional student who has a Commonwealth supported place at their home university.

Domestic fee-paying student fee

For Australian citizens, permanent visa holders and permanent humanitarian visa holders, and New Zealand citizens, who study this unit:

as part of a QUT course and are not eligible for a Commonwealth supported place (CSP)
as a cross-institutional student who does not have a Commonwealth supported place at their home university
as a single-unit study student.

International student fee

For international students who study this unit:

as part of a QUT course
as a cross-institutional student.

Previous study requirements

Prerequisites: ENN543 or CAB420 or (EGB250 and admission to EV57). ENN543 can be enrolled in the same teaching period as ENN662.

Guide to previous study requirements

Prerequisites: To enrol in this unit, you must have completed these prerequisite units (or have credit, advanced standing or exemption for them), or be able to demonstrate that you have equivalent background knowledge.
Anti-requisites: You can’t enrol in this unit if you have completed any of these anti-requisite units.
Co-requisites: To enrol in this unit, you must have already completed these co-requisite units, or you must enrol in them at the same time.
Equivalents: You can’t enrol in this unit if you have completed any of these equivalent units.
Assumed knowledge: We assume that you have a minimum level of knowledge in certain areas before you start this unit.

Unit outlines

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Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.