CET875 AI for Bioimage, Signal analysis and Healthcare (Advanced)

Course Provider

School of Computer Science and Engineering (SCSE)



Academic Unit



Automated Biomedical signal & image analysis enables efficient delivery of healthcare by reducing the turnaround time and burn-down of clinicians. AI has shown great promise in applications like medical image analysis and reconstruction, precision medicine, analytics of healthcare data for early detection and prevention, community health, workflow management etc.  The global artificial intelligence in healthcare market size is expected to hit around US$ 187.95 billion by 2030 and expanding growth at a CAGR of 37% from 2022 to 2030. Software as a medical device (SaMD) is finding quick adoption in the healthcare and is dominating the market. This course enables the participants to have an in-depth understanding of the new developments, applications and adoption, practical limitations and regulatory constraints.

This course is part of:

- Graduate Certificate in Artificial Intelligence and AI Plus 
- FlexiMasters in Artificial Intelligence and AI Plus 

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At the end of the course, learners  are able to:

  • Build on the understanding from the basic and intermediate course in biomedical image, signal processing and healthcare analysis.
  • Develop knowledge on clinical translation with case studies.
  • Use advanced big data analytics and other technologies like blockchain for healthcare.
  • Appreciation for considerations in deployment of practical AI and ML solutions for biomedical and clinical applications.


AI for Healthcare Applications 

  • Virtual Assistants
  • Diagnosis
  • Clinical Trials
  • Wearables
  • Semantic Analysis
  • Cybersecurity

Case Studies

  • Metabolic syndrome
  • Biomedical Devices for Different Health Applications
  • Blockchain based healthcare
  • Big data analytics

Advanced Topics and Translational

  • Multi-task learning /Federated Learning
  • Federated learning for medical data analysis
  • Frameworks for practical translation
  • Projects using cloud platforms
  • Regulatory issues in clinical translation

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

 NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

    Read more about funding

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    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).