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Artificial Intelligence for Healthcare

This eight-week online course explores the transformative role of artificial intelligence in the healthcare industry, offering learners a comprehensive understanding of how AI is reshaping diagnostics, treatment, and patient care. It begins by unpacking the fundamentals of machine learning and deep learning, showing how these technologies enhance clinical decision-making and operational efficiency. Learners then examine various types of AI used in healthcare, including natural language processing (NLP), computer vision, robotics, and generative AI, with real-world examples of how these tools are applied in medical diagnostics and personalized medicine. Ethical considerations are a central theme throughout the course, encouraging participants to critically assess issues related to bias, fairness, data privacy, and the psychological impact of AI integration. By the end of the program, learners will be equipped with the knowledge to lead in a tech-driven healthcare environment, understanding both the opportunities and challenges that AI presents.

Discipline

Healthcare & Medicine

Learning Hours

40

Length of Delivery

8 weeks

Assessment type:

Formative

Target Audience

Open

Delivery Mode

Asynchronous

Language

English

Pricing

Free to learn,

Pay to certify

Artificial Intelligence for Healthcare

Learning Outcomes:

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

  1. Explain the fundamental concepts and significance of Artificial Intelligence (AI) in healthcare, including its potential impact on patient care and system efficiency.

  2. Articulate basic AI techniques, including machine learning and deep learning, to analyse healthcare data and address challenges in diagnostics, treatment, and public health.

  3. Evaluate ethical considerations and data privacy challenges in deploying AI solutions in healthcare, including patient confidentiality, bias, and regulatory compliance.

Instructors:

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Prof. Dr. Ong Teng Aik (Lead)

Department of Surgery
Faculty of Medicine

Universiti Malaya

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Dr. Saw Shier Nee

Department of Artificial Intelligence
Faculty of Computer Science and Information Technology

Universiti Malaya

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Prof. Dr. Adina Abdullah

Department of Primary Care Medicine
Faculty of Medicine

Universiti Malaya

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Assoc. Prof. Dr. Lee Yew Kong

Department of Primary Care Medicine
Faculty of Medicine

Universiti Malaya

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Dr. Tan Li Kuo

Department of Biomedical Imaging
Faculty of Medicine

Universiti Malaya

Chair

Co-leads

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©2025 AUN-TEPL Thematic Network

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