Explore AI technologies transforming healthcare, with a leading global university
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TBD
2 months, Live Online
Sessions are usually conducted on Saturdays from 2:30-5:00 PM (SGT)
Our participants tell us that taking this programme together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for AI for Healthcare starting on TBD .
We’ve sent you an email with enrolment next steps. If you’re ready to enrol now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.
This programme features 3 months of free Premium Access to Emeritus Insights—a mobile app with 5,000+ bite-sized, business-focused videos to help you meet your daily learning goals on the go.
Apply before XX XX XXXX and avail early bird tuition assistance of USD XXX.
Use code XXXXXX while applying.
WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.
Live Online Lectures
Assignments
Discussion Boards
Real-World Case Analysis
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.
Professionals with a medical or non-medical background can benefit from the programme. AI for Healthcare is designed for CEOs and directors of small and medium enterprises, mid- to senior-level managers, and entrepreneurs.
Representative roles and industries that can benefit include:
of healthcare and life sciences executives want to see their organisations more aggressively adopt AI technology.
is the potential AI has to add to Southeast Asia’s GDP by 2030.
of Southeast Asia is in the early stages of AI adoption.
Associate Prof Ngiam Kee Yuan
Prof Dean Ho
Dr Feng Mengling
Dr Kenneth Ban
Associate Prof Ngiam Kee Yuan
Faculty, NUS Yong Loo Lin School of Medicine
Associate 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. He also serves as the group chief technology officer of National University Health System (NUHS).
"The biggest trend in healthcare is towards greater integration. This is achieved through a digital integration of fragmented data and systems to deliver a holistic healthcare experience."
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 National University Hospital, championing big data analytics efforts.
"A successful healthcare AI solution will have to be a joint invention by both the computer scientists and physicians, where one offer the technical expertise and skills and the other define the clinical needs and also the context for implementation."
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 cancer genetics at the Institute of Molecular and Cell Biology (IMCB) Singapore before joining the Department of Biochemistry at NUS.
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.
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.
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