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AI and Its Applications in Healthcare and Nursing

Programme Overview

What is AI and why is it important in Healthcare and Nursing?

AI approaches are increasingly emerging as a key technological enabler in healthcare. Transformational uses of AI have been applied across the entire healthcare spectrum from medical operations, diagnostics, prognosis, through treatment and research. These approaches have had a direct impact on the delivery of healthcare and patient outcomes.

The Nursing profession plays a crucial role in the adoption of AI platforms and technologies. From identifying opportunities, ensuring adoption, providing front-line feedback, nursing plays a vital role in impactful AI. Understanding the strengths (and limitations) of AI empowers the next generation of Nursing professionals to maximize the use of AI and ensure the best treatments and outcomes for the patients under their care.

Learning Objectives

Over the course of these lectures, participants will gain an understanding of what AI actually is and the basic principles behind it. From these fundamentals, they will then be provided with an overview of the current AI in healthcare landscape, the major domains where AI is being applied, and finally a workable approach to drive the AI application and adoption in the workplace.

How they Benefit

With an understanding of AI and its application, participants will have the basic skills and knowledge to allow them to identify opportunities to improve the health outcomes of their patients through AI. This course will also provide participants with a solid foundation to allow them to further develop their AI skillset over the course of their training and careers.

Prerequisites

This course is targeted towards those who intend to follow a career in nursing or related disciplines. There are no prerequisites for this course as the material will cover the basics of AI through to advanced applications in Healthcare and Nursing.

The course will be delivered through English.

Programme Content

• Introduction to AI
• AI principles
• Overview of AI in healthcare and nursing
• Applications of AI in healthcare and nursing
• Practical AI in healthcare and nursing
• Final project presentation

Instructors


Dr Amirhassan MonajeminDr Amirhassan Monajemi

Dr Amirhassan Monajemi

Dr Amirhassan Monajemi

Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

Dr Peter CondronDr Peter Condron

Dr Peter Condron

Dr Peter Condron

Peter Condron is a Data Science and IT leader with over 21 years’ experience in the Pharmaceutical and Biotechnology industry. An expert in the analysis and transformation of healthcare organizations, Peter has driven the creation of world-class data-driven organisations and high performing teams in large multi-national organisations such as Novartis, Eli Lilly and Merck, as well as Singaporean based research agencies (A*Star) and local startups.

Contact Us

Write to us at soc-ace@nus.edu.sg for more details.

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Advanced Computing for Executives

11 Research Link
COM 3, #B1-07
Singapore 119391
Email: soc-ace@nus.edu.sg

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