PE4S299 - Artificial Intelligence Applications in Medical Practice 01 Sep 2024 - 31 Aug 2030 | Version 1
Associated Module Information
| Module Code: | PE4S299 | ||
|---|---|---|---|
| Module Title: | Artificial Intelligence Applications in Medical Practice | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Allied Health and Chiropractic | ||
| Faculty Sub Group: | Clinical Services | ||
| Module Leader: | Iram Ashraf, Faisal Rashid | ||
| Module Team: | |||
| First Intended Intake: | SEP 2024 | Final Year of Intake: | 2029 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100260 - healthcare science | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2024 |
| Valid To | 31 Aug 2030 |
Module Aims
The module aims to develop students' knowledge and understanding of current and emerging applications of artificial intelligence across a variety of medical contexts, enhancing their critical analysis skills and striving to improve patient outcomes.
Content Summary
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
Week 1 - AI in Diagnostic Imaging
Week 2 - Personalised Medicine through AI
Week 3 - AI-Enhanced Surgery
Week 4 - Wearables and Remote Health Monitoring
Week 5 - AI in Mental Health Treatment
Week 6 - Exploring the Future of AI in Medicine
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Seminars | 40 |
| Independent Study | 80 |
| Directed Study (including online independent learning) | 40 |
| Problem/Challenge based learning | 40 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate current and emerging AI technologies for a range of healthcare applications, analysing the potential benefits and limitations of these tools in medical practice. |
| LO2 | Develop a systematic understanding of current requirements, challenges and solutions in implementing AI technologies adopting a multidisciplinary approach and for a variety of healthcare settings. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Case study 1 | A concentrated inquiry into a single case or subject Learna Case-based scenarios and a discussion forum related to artificial intelligence applications in medical practice. | 0 | 2500 | 40 | No | 40 |
| Asynchronous Assessment | Project 1 | A detailed analysis of a topic, involving some original research undertaken by the candidate who makes use of data and/or primary sources Learna Completion of an individual/group task related to artificial intelligence applications in medical practice. | 0 | 1000 | 20 | No | 40 |
| Asynchronous Assessment | Self Reflective Assessment 1 | A personal record of a student’s learning experiences. It requires students to record and reflect upon their observations and responses to situations, which can then be used later to explore and analyse ways of thinking and being in context. Generally involves critical diaries, learning logs and written / visual journals Learna Reflective journal | 0 | 600 | 10 | No | 40 |
| Synchronous Online Assessment | Time-constrained assessment (Online) 1 | Assessment to be completed in a specific timescale, which is neither an invigilated examination nor a piece of coursework. To be completed over an extended period (e.g. a 2-hour task to be completed within 48 hours, or a 24-hour assessment).Learna: End of module 1-hour Case-based Multiple-choice Examination related to artificial intelligence applications in medical practice, to be completed within a 10-day period. | 60 | N/A | 30 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Case study 1 | ✔ | ✔ | |
| Project 1 | ✔ | ✔ | |
| Self Reflective Assessment 1 | ✔ | ✔ | |
| Time-constrained assessment (Online) 1 | ✔ | ✔ | |