AI for Healthcare

Explore AI technologies transforming healthcare, with a leading global university
Work Experience

Future-Proof Your Career

Emeritus and NUS Medicine unite to offer an exclusive opportunity. Enrol byInvalid liquid datausing this code: APAC100ALL5924 and get USD100 enrolment benefit. Limited seats available. Reserve your spot today!

What will this Programme do for you?

  • Describe the fundamentals of biomedical informatics and digital transformation

  • Explain the key aspects of managing the life-cycle of data

  • Define the key AI terminologies and identify the opportunities of integrating deep learning in healthcare AI

  • Recognise the role of AI in drug discovery, development and administration

  • Examine the use of AI in optimising treatment for populations and personalised medicine

  • Analyse the impact of AI on quality of care and operations in healthcare

  • Explain the implementation of strategies and frameworks for AI in healthcare workflows

  • Describe the importance and implementation of Cloud technologies and Generative AI in healthcare operations

  • Create an executive summary of an AI implementation/improvement plan for your organisation

Programme Highlights

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13 live webinars from renowned NUS faculty and industry practitioners.

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Assignments

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Discussion Boards

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Real-World Case Analysis

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The program includes latest topics such as Generative AI, Hybrid Clouds, and Digital Transformation in Healthcare

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No prior AI knowledge is needed.

Note: The programme highlights mentioned above are subject to change based on faculty availability and the desired outcomes of the programme.

**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.

Case Studies

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The State of Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms: An Online Database

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Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention

Addressing COVID-19 Drug Development With Artificial Intelligence

Addressing COVID-19 Drug Development With Artificial Intelligence

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AIDAN and AI-LIN vs. Vinny the Virus

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Big Data and Machine Learning Algorithms for Healthcare Delivery

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AI-Assisted Decision-Making in Healthcare

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Capturing Feature-Level Irregularity in Disease Progression Modelling

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Emergency Call Center AI Assistant

Programme Modules

Why Enrol for the Programme?

Artificial intelligence (AI) technologies are revolutionising nearly every aspect of healthcare. From data management to drug discovery and development to clinical practice and patient care, the innovations of AI continue to optimise and advance medical services. By understanding the impact of current and emerging AI technologies—including global trends and regulatory constraints—healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance. Whether you want to gain the knowledge to invest in AI projects that can move healthcare research ahead faster and with greater predictability, design secure solutions for patients and customers, or develop enhanced products related to medical services, this programme can put you on the path to make a real difference within—and beyond—your organisation.

Past Participant Profiles

Countries

Work Experience

Industries

Programme Faculty

Faculty Member Associate Prof Ngiam Kee Yuan
PROFESSOR NGIAM KEE YUAN

Faculty, NUS Yong Loo Lin School of Medicine

Professor Ngiam is Senior Consultant at the Division of General Surgery at the National University Hospital (NUH) who specialises in thyroid and endocrine surgical disorders. ...

Faculty Member Prof Dean Ho
PROFESSOR DEAN HO

Faculty, NUS Yong Loo Lin School of Medicine

Professor Dean Ho is Provost’s Chair Professor, Director of The N.1 Institute for Health (N.1), Director of the Institute for Digital Medicine (WisDM), and Head of the Departm...

DR FENG MENGLING

Faculty, NUS Yong Loo Lin School of Medicine

Dr Feng is currently the Assistant Director of Research at the Institute for Data Science, National University of Singapore. He also serves as the Senior Assistant Director of...

DR KENNETH BAN

Faculty, NUS Yong Loo Lin School of Medicine

Dr Ban obtained his BSc (Hons) in Biochemistry and MBBS degrees from NUS and a PhD in Cancer Biology from Stanford University. He completed his postdoctoral training in mouse ...

Note: Programme Faculty for the live sessions might change due to unavoidable circumstances, and revised details will be shared closer to the programme start date.

Past participants of Emeritus work at

Note: *All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Testimonials

There are many new things that I have learnt through this course, and I am definitely more comfortable with understanding the layers behind how AI works. It also allowed me to better appreciate our el...
Justin Ooi
MOH Holdings,
Medical Doctor
Personally, learning about how AI is being deployed in drug discovery was eye-opening. I had never known how this was being done prior to the course, and the faculty from NUS Medicine gave me good ins...
Andrew Fong
Consultant,
Raffles Hospital
This course is a good introduction to AI for those who are not in IT or a related field. With this course, one can decide if they want to pursue and continue their studies in AI and related IT fields....
Lilian Lee
Regulatory Affairs Manager
Kyowa Kirin APAC Pte Ltd
The lecturers are truly the best in their field, offering deep expertise and valuable insights into the application of AI in healthcare.
Brendon Lyn
Senior Manager,
DxD Hub
Learning the vocabulary and basic AI concepts in detail during the NUS Medicine's AI in Healthcare programme gave me a solid foundation to build upon.
Neha Jain
Assistant Director,
A Star
The topics in the course AI for Healthcare by NUS Medicine were insightful and engaging, providing a clear understanding of AI concepts and their real-world applications in healthcare.
Recep Akun
GM SEA & INDIA,
Dentsply Sirona
I enjoyed knowing and learning AI through the real-world examples presented in the NUS Medicine's AI in Healthcare Programme, as they helped me better relate abstract concepts to actual healthcare sce...
Sampson Anbunesan
Registered Nurse
KK Women's and Children's Hospital
The professors are knowledgeable and provided a lot of real-world use cases and insights into how technology and AI can be applied to healthcare.
Siew Yin Pang
Sr Executive
Institute of Mental Health
The interactive sessions and course materials offered through the NUS Medicine's AI in Healthcare programme made learning both effective and enjoyable, as they encouraged active participation and rein...
Shaheed Ali
IT System Engineer,
Siemens Healthineers
The interactive quizzes, assignments, live sessions, and discussions all contributed to a dynamic and engaging learning environment at NUS Medicine.
Hummaira Gul Azeez
Digital Marketing Manager
The course spoke to a wide range of professionals, allowing us to see the complete picture of the topic, which made the NUS Medicine's AI in Healthcare programme exceptionally inclusive and enriching.
Mohammed Othman
CTIO
Self Employed
The NUS Medicine's AI in Healthcare programme shared valuable knowledge along with real-world AI applications already in use, making the learning experience incredibly relevant, practical, and impactf...
Victor Castillo
Management
Contour Rehabilitation & Wellness Inc.
Example image of certificate that will be awarded after successful completion of this program

Certificate

Participants who successfully complete the programme and meet the requisite 65% minimum attendance criteria will be awarded a verified digital certificate by NUS Yong Loo Lin School of Medicine.

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS Yong Loo Lin School of Medicine.

Emeritus Career Services

Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.

Emeritus provides the following career preparation services:

  • Resume building videos

  • Interview preparation videos

  • Linkedln profile building videos

  • Interview guidebooks

  • Glossary of resume templates

Please note:

NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here

The Learning Experience

What is it like to learn with the learning collaborator, Emeritus?

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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