AI for Healthcare

Explore AI technologies transforming healthcare, with a leading global university

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Course Dates

STARTS ON

29 March 2024

Course Duration

DURATION

2 months, Live Online
Sessions are usually conducted on Saturdays from 2:30-5:00 PM (SGT)

Course Fee

PROGRAMME FEE

US$2,200 and get US$220 off with a referral

Course Information Flexible payment available
Course Information Special group enrolment pricing

Applications close on 23 February 2024

Apply before 23 February 2024 and avail a tuition assistance of USD 50 on the program fees
by using APAC50ALL9153

WhatsApp an Advisor on +65 8014 3066
Have questions? Our Advisor will assist you promptly.

What will this Programme do for you?

Programme Highlights

Pre-Recorded Video Lectures* from NUS faculty with for self-paced learning interspersed with live lectures from renowned NUS faculty and industry practitioners

Assignments

Discussion Boards

Real-World Case Analysis

No prior AI knowledge required

Note: The programme highlights mentioned above are subject to change based on faculty availability and the desired outcomes of the programme.
*This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**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

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

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

AIDAN and AI-LIN vs. Vinny the Virus

Big Data and Machine Learning Algorithms for Healthcare Delivery

AI-Assisted Decision-Making in Healthcare

Capturing Feature-Level Irregularity in Disease Progression Modelling

Programme Modules

    • Biomedical informatics for solving problems
    • Types of data
    • Sources of data: healthcare system
    • Relational data model
    • Structured Query Language (SQL)
    • Data interoperability
    • Data repository
    • Data privacy
    • Data errors and measures to improve data quality
    • Data transformation
    • Data management
    • Introduction to terminologies:
      • Business intelligence
      • Data mining
      • Data analytics
      • Artificial intelligence
      • Machine learning/deep learning
      • Big data
    • A brief modern history of AI
    • Biological neuron
    • Perceptron
    • Activation function
    • AI and gradient descent
    • Convolution neural network for medical image understanding
    • The Digital mammography dream challenge - problem, approach, results, mistakes, solution
    • Challenges of drug discovery and development
    • Innovations in drug discovery, development, and diagnostics
    • AI in drug innovation continuum
    • Bridging early discovery with commercialisation
    • The evolution of technology in healthcare
    • Rethinking drug development using AI
    • Operationalising AI in healthcare
    • Clinical AI Development Process
    • Challenges in developing AI tools
    • Architecture for AI development in clinical practice
    • Production deployment in clinical AI
    • Ethics and regulatory considerations of clinical AI
    • AI implementation and success in Healthcare

Note: *This programme is primarily self-paced online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
**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.

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

Who is this Programme for?

Professionals with a medical or non-medical background can benefit from the programme. AI for Healthcare is designed for mid- to senior-level managers, entrepreneurs, small and medium enterprise professionals.

Representative roles and industries that can benefit include:

  • Technology-driven sectors where AI applications are critical, including healthcare, medical services, medical devices, pharmaceuticals, biotechnology, ed tech, IT, real estate, and telecommunications
  • Doctors, individual practitioners and other healthcare professionals
  • CEO, CIO, chairman, director, associate director, senior director of health care, pharmaceuticals, medical devices, information technology, and other relevant industries
  • General manager, product manager, marketing manager, account manager, operations manager, project manager of healthcare, biotechnology, ed tech, and medical devices
  • Founder, co-founder of healthcare, medical services, and pharmaceutical industries

82%

of healthcare and life sciences executives want to see their organisations more aggressively adopt AI technology.

SOURCE: KPMG, 2021

USD 1 trillion

is the potential AI has to add to Southeast Asia’s GDP by 2030.

SOURCE: KEARNEY, 2021

80%

of Southeast Asia is in the early stages of AI adoption.

SOURCE: KEARNEY, 2021

*The schedule of live sessions and profile of Industry experts is subject to change and confirmation will be provided post programme start.

Programme Faculty

Faculty Member Associate Prof Ngiam Kee Yuan

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... More info

Faculty Member Prof Dean Ho

Prof Dean Ho

Faculty, NUS Yong Loo Lin School of Medicine

Prof 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 Department... More info

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... More info

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... More info

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

I had been hearing about AI for a long time, and then ChatGPT became the talk of the town. It was the perfect time for me to choose this course, and it gave me a clear picture of how AI can influence things in the healthcare domain. The course is well-designed, keeping diverse participants in mind.

— Mohammad Eqbal, Remote Services Consultant, Siemens Healthcare LLC

It's a very effective course for all sorts of professionals; they may not even be clinicians. For myself, it's a learning experience in hospital planning and design where I am discovering AI applications.

— Sumandeep Singh, Vice President at HKS Inc. an American architecture firm

The course has explained the role of AI in healthcare in simple terms. The speakers have been to the point and explained the role of AI very eloquently. I am applying for an administrative position within my hospital, and I will be able to integrate AI, especially in the fields of radiology and telemedicine.

— Dr Dev S Roy, Consultant IN ENT and Head & Neck Oncology, Asst. Professor Sharjah University, NMC Royal Hospital, Sharjah

Certificate

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.

Download Brochure

Note - All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Asian Institute of Management.
*Emeritus or the institute does not guarantee availability of any live faculty session recordings.

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.
Apply Now

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.