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Introduction
Biomedical image and signal processing for healthcare is experiencing tremendous growth worldwide, and biomedical jobs is one of the fastest growing career fields worldwide. This field is fundamental to the understanding, visualizing, and quantifying of medical images and bio signals in clinical applications. Improved performance and increased adoptability of AI in healthcare has brought rich dividends in various applications of healthcare. We aim to explore these new applications in terms of Medical Image reconstruction, Decision support systems, Federated learning to enrich the course participants and update them with the recent developments.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
At the end of the course, learners are able to:
- Acquire intermediate to advanced knowledge on biomedical image, signal processing and healthcare analysis
- Case studies will illustrate the application of AI/ML/DL methods to a wide range of clinical applications.
- Hands-on experience helps in development of project on biomedical image, signal processing or healthcare data using various artificial intelligence or machine learning methods. Participants will be guided by the experts in the field.
- Deployment of practical AI and ML solutions for biomedical and clinical applications - its limitations and advantages.
Scope:
Medical imaging modalities & AI applications
- Overview of Biomedical imaging modulates
- AI based image reconstruction applications
- Synthetic medical image generation & applications
Advanced AI methods for Healthcare Data Analysis – Time series/Image analysis
- Overview of Biomedical time series and healthcare data analysis
- Advance AI based time series analysis methods - Case Studies based
- Recent advances in AI/Machine Learning and Deep learning
- Feature engineering methods and its significance
- Multivariate structured data processing
- Case studies: Signal processing / Clinical Informatics / Decision Support
Advanced Translational applications
- Data Harmonization in medical data analysis
- Federated learning for medical data analysis
- Super resolution-based reconstruction
- Deployment considerations for AI innovations in healthcare
- Frameworks for practical translation – Case studies based
No pre-requisites are needed to enrol in the individual courses.
Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.
Standard Course Fee: S$1,944
SSG Funding Support | Course fee payable after SSG funding, if eligible under various schemes | ||
Fee BEFORE funding & GST | Fee AFTER funding & 8% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | s$1,800.00 | S$583.20 | |
Enhanced Training Support for SMEs (ETSS) | S$223.30 | ||
SCs aged ≥ 40 years old | |||
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Select one of the following options:
| COURSE TITLE | ACADEMIC UNIT |
| AI for Advance Manufacturing and Engineering | |
| CET870 AI for Advanced Manufacturing and Engineering (Basic) | 1 |
| CET871 AI for Advanced Manufacturing and Engineering (Intermediate) | 1 |
| CET872 AI for Advanced Manufacturing and Engineering (Advanced) | 1 |
| AI for Bioimage, Signal Analysis & Healthcare | |
| CET873 AI for Bioimage, Signal Analysis & Healthcare (Basic) | 1 |
| CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced) | 1 |
| AI for Business Analytics | |
| CET876 AI for Business Analytics (Basic) | 1 |
| CET877 AI for Business Analytics (Intermediate) | 1 |
| CET878 AI for Business Analytics (Advanced) | 1 |
| AI for Drug discovery & Protein Interactions | |
| CET879 AI for Drug discovery & Protein Interactions (Basic) | 1 |
| CET880 AI for Drug discovery & Protein Interactions (Intermediate) | 1 |
| CET881 AI for Drug discovery & Protein Interactions (Advanced) | 1 |
| AI for Computational Geonomics | |
| CET882 AI for Computational Geonomics (Basic) | 1 |
| CET883 AI for Computational Geonomics (Intermediate) | 1 |
| CET884 AI for Computational Geonomics (Advanced) | 1 |
| AI for Accelerated Materials Development | |
| CET885 AI for Accelerated Materials Development (Basic) | 1 |
| CET886 AI for Accelerated Materials Development (Intermediate) | 1 |
| CET887 AI for Accelerated Materials Development (Advanced) | 1 |
| AI for Smart City and Urban Systems | |
| CET888 AI for Smart City and Urban Systems (Basic) | 1 |
| CET889 AI for Smart City and Urban Systems (Intermediate) | 1 |
| CET890 AI for Smart City and Urban Systems (Advanced) | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).
