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Artificial Intelligence for Healthcare

Gain expertise to lead in an AI-powered healthcare industry as you gain future-ready skills in AI concepts, tools, and ethics.

Physician optimizing medical care via smartphone. Medicine, science and technology

Artificial Intelligence for Healthcare

  • 8 weeks

  • 2 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

Delve into the transformative power of AI in the healthcare industry

On this eight-week course, you’ll explore how AI is being used to turn the healthcare industry into a highly data-driven field.

You’ll discover how different technologies are revolutionising areas in healthcare such as diagnostics, personalised medicine, and robotic surgery. With a strong focus on ethical issues, you’ll be able to dissect and discuss the complex challenges faced in modern healthcare settings.

By the end, you’ll understand AI-driven medical solutions and how machine-learning techniques can help solve real-world problems.

Unpack the types of AI in healthcare such as generative AI

You’ll start by unravelling how machine learning and deep learning improve healthcare.

Next, you’ll dissect the different forms of AI in healthcare – such as NLP, computer vision, robotics, and Generative AI. You’ll critically examine their real-world applications balanced against ethical considerations.

Explore AI ethics and data privacy

Throughout the course, you’ll investigate AI’s transformative impact on healthcare, mainly focussing on its enhancements to diagnostics, patient care, and operational efficiency.

You’ll delve into issues related to AI ethics and data privacy as you address bias, fairness, and privacy concerns. Along with this, you’ll also explore the psychological implications of AI’s integration into healthcare systems.

Investigate AI tools with the Universiti Malaya

Finally, you’ll explore how AI tools are utilised within medical diagnostics and personalised treatment mechanisms to undertsand how they have revolutionised the industry.

Guided by the experts at Universiti Malaya, you’ll finish with the AI knowledge to lead in a tech-driven healthcare landscape.

Skip to 0 minutes and 11 seconds Hello, and welcome! I am Prof. TK from Faculty of Computer Science and IT, here at Universiti Malaya. We’re excited to introduce you to AI for Nation, an initiative designed to help learners of all backgrounds explore the fascinating world of Artificial Intelligence (AI). Whether you’re just curious or already working in a related field, this program ensures you stay ahead in our rapidly evolving AI era.

Skip to 0 minutes and 43 seconds To kick off this project, we’re offering

Skip to 0 minutes and 44 seconds two exciting modules: AI for Everyone and AI for Healthcare. Through the development of introductory modules like AI for Everyone and AI for Healthcare, the university aims to provide accessible education that empowers learners from diverse backgrounds, ensuring they are not left behind in the AI era. The primary goal of these modules is to help participants grasp the fundamentals of AI, explore its real-world applications, and address the ethical considerations that come with it.

Skip to 1 minute and 24 seconds AI for Everyone offers a broad introduction to the essential AI technologies. It is designed for the general public and professionals looking to integrate AI knowledge into their life and work.

Skip to 1 minute and 39 seconds AI for Healthcare, on the other hand, targets the healthcare industry, emphasising the use of AI in medical diagnostics, patient care, and public health. At Universiti Malaya, we believe that education should be accessible to all, which is why we’re developing even more AI modules in the near future. These will include modules at both intermediate and advanced levels, catering to different sectors and skill sets, ensuring a comprehensive AI curriculum for everyone. By doing so, the university seeks to build a comprehensive AI curriculum within the context of a holistic education. By joining us, you’ll not only gain valuable knowledge but also be part of a larger movement to promote lifelong learning and innovation in AI.

Skip to 2 minutes and 35 seconds Our goal is to empower individuals and organizations to thrive in the future.

Skip to 2 minutes and 43 seconds Through these efforts, Universiti Malaya aspires to become a leading center for AI education, fostering innovation and responsible AI use across industries. So, why wait? Enrol today and become a part of the AI revolution! We look forward to seeing you in the modules.

Syllabus

  • Week 1

    Introduction to Artificial Intelligence (AI)

    • Female physiotherapist and Bionic Hand with artificial intelligence technology.

      Getting Started

      Before you get started, we would like to give you an overview of the course and introduce you to our instructor.

    • AI Applications, Significance, and Milestones

      Learners will define Artificial Intelligence (AI), explore its diverse applications, assess its transformative significance in healthcare, and review key milestones in AI's historical development.

    • Asia female doctor using computer laptop talking video conference call with patient at hospital.

      Weekly Wrap Up

      Let's wrap up! What have you learned so far? Let's do some reflections!

  • Week 2

    Basic Concepts of Artificial Intelligence (AI)

    • Data, Information, and Knowledge in AI

      Learners will explore the distinctions between data, information, and knowledge in AI, understanding how each contributes to intelligent decision-making and problem-solving.

    • Knowledge representation and reasoning

      Next, learners will explore knowledge representation and reasoning, key AI concepts that allow machines to understand and process information like humans.

    • Weekly Wrap Up

      Let’s conclude! What key insights have you gained from this week?

  • Week 3

    Employing Machine Learning and Deep Learning in Healthcare

    • What is Machine Learning and Deep Learning in healthcare?

      We will explore how Machine Learning and Deep Learning are transforming healthcare. You'll learn how these AI techniques are applied in diagnostics, treatment, and personalized medicine to improve patient care and outcomes.

    • Performing Data Analysis for AI

      Explore what AI data analysis entails and how to effectively prepare for it, covering essential steps and best practices.

    • Weekly Wrap Up

      Let's quickly recap the week's key moments in a brief, insightful summary for reflection.

  • Week 4

    Types of Artificial Intelligence (AI) in Healthcare

    • What types of AI?

      Learn about the different types of AI, including their characteristics, functionalities, and applications across various fields.

    • AI applications in healthcare

      Exploring the different types of AI that are transforming the field—from enhancing diagnoses and treatments to improving overall efficiency in healthcare systems.

    • Weekly Wrap Up

      Let's quickly recap the week's key moments in a brief, insightful summary for reflection.

  • Week 5

    How AI is Transforming the Healthcare Industry

    • Roles of AI in patient care

      We’ll explore healthcare challenges that AI can address, discuss its crucial role in medical diagnostics, and highlight how AI enhances patient care and treatment outcomes.

    • Innovative technology with modern interface in science and medical doctor show blood tube for health check up.

      Role of AI in medical diagnostics

      Artificial Intelligence (AI) plays a transformative role in medical diagnostics by enhancing the accuracy, efficiency, and speed of identifying diseases.

    • Weekly Wrap Up

      Unpack the week's significant happenings in a brief, clear summary for easy recall.

  • Week 6

    AI Ethics and Data Privacy

    • The importance of AI ethics in healthcare

      We’ll delve into AI ethics, exploring key principles, challenges, and the importance of ethical considerations in developing and using AI technologies responsibly for healthcare.

    • Impact of AI on Patients and Providers

      Explore the ethical aspects of AI in healthcare, focusing on bias and fairness, data privacy concerns, and the psychological impacts of AI use on patients and healthcare professionals.

    • Weekly Wrap Up

      Explore the week's major highlights in a succinct, engaging overview for thoughtful review.

  • Week 7

    AI in Medical Diagnostics and Treatment

    • Applications of AI in healthcare

      Explore some of the real-world applications of AI in medical diagnostics and treatment that are making this vision a reality.

    • Weekly Wrap Up

      Digest the week's top stories in a short, informative recap for easy understanding.

  • Week 8

    AI in Electronic Health Records, Drug Discovery, Medical Research, and Public Health

    • AI in Electronic Health Records

      Explore what is AI in Electronic Health Records

    • Real-world example of AI in action

      Let’s take a closer look at a real-world example of AI in action.

    • Weekly Wrap Up

      Time to recap! How will you apply what you’ve learned in this week to real-world scenarios?

    • Course Wrap Up

      Congratulations! You've successfully completed the AI for Healthcare course. Well done on reaching the end of this learning journey!

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Explain the fundamental concepts and significance of Artificial Intelligence (AI) in healthcare, including its potential impact on patient care and system efficiency.
  • Articulate basic AI techniques, including machine learning and deep learning, to analyse healthcare data and address challenges in diagnostics, treatment, and public health.
  • Evaluate ethical considerations and data privacy challenges in deploying AI solutions in healthcare, including patient confidentiality, bias, and regulatory compliance.

Who is the course for?

This course is designed for anyone studying or working in healthcare.

You’ll gain a comprehensive understanding of AI in healthcare, preparing you for a future that is becoming increasingly dependant on AI tools.

Who will you learn with?

Teng Aik Ong

I am a urologist. Focusing on research and teaching on uro-oncology.

Adina Abdullah

I am a family medicine specialist and a professor at the Department of Primary Care Medicine at Universiti Malaya. I co-lead the mHealth and Telehealth Division at the UM eHealth Unit.

Li Kuo Tan

Lecturer in Medical Physics in Universiti Malaya, Malaysia. My research interests include medical imaging, image processing, and artificial intelligence.

Shier Nee Saw

Dr. Saw Shier Nee is a Senior Lecturer at the Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.

Yew Kong Lee

I am an Associate Professor at the Department of Primary Care Medicine, Faculty of Medicine, Universiti Malaya.

Who developed the course?

University of Malaya logo

Universiti Malaya

Universiti Malaya is the premier research university in Malaysia, committed to advancing knowledge and learning through quality research and education for the nation and for humanity.

  • Established

    1905
  • Location

    Kuala Lumpur, Malaysia
  • World ranking

    Top 60Source: QS World University Rankings 2021

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Ways to learn

Choose the best way to learn for you!

Buy this course

$109/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Subscribe & save

$349.99 for one year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Limited access

Free

Sample the course materials

  • Access expires 7 May 2025

Find out more about certificates, Unlimited or buying a course (Upgrades)

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  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

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  • Complete 90% of course steps and all of the assessments to earn your certificate

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