Subject Guides: AI in Healthcare: Overview

Introduction to AI in Healthcare

Artificial intelligence (AI) is rapidly transforming the healthcare landscape, with new tools and applications emerging all the time. As a health professional, it is important to be aware of the latest AI developments and how they can be used to improve your practice and research.

The guide provides a number of resources for health professionals who want to learn more about AI tools and how to use it in their practice and research.

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Here are some free online courses on the basics of AI

Artificial Intelligence - Digital Essentials
An introduction to different types of Artificial Intelligence (AI), using AI in your studies, the implications for society and research being done on AI at University of Queensland
Elements of AI
The Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
An introduction to AI - OpenLearn
Artificial Intelligence (AI) represents great opportunity, but also significant disruption for modern societies and cultures. This free online short course investigates the historical, ethical and social issues surrounding this technology. It is aimed at people interested in understanding where this technology has come from, the kinds of opportunities it brings to modern and future societies, but also the risks it presents, and what steps we might take to avoid such risks.

Charting the future of patient care: A strategic leadership guide to harnessing the potential of artificial intelligence Artificial Intelligence (AI) applications have the potential to revolutionize conventional healthcare practices, creating a more efficient and patient-centred approach with improved outcomes. This guide discuses eighteen AI-based applications in clinical decision-making, precision medicine, operational efficiency, and predictive analytics, including a real-world example of AI's role in public health during the early stages of the COVID-19 pandemic. Additionally, we address ethical questions, transparency, data privacy, bias, consent, accountability, and liability, and the strategic measures that must be taken to align AI with ethical principles, legal frameworks, legacy information technology systems, and employee skills and knowledge. We emphasize the importance of informed and strategic approaches to harness AI's potential and manage its challenges. Moreover, this guide underscores the importance of evaluating and integrating new skills and competencies to navigate and use AI-based technologies in healthcare management, such as technological literacy, long-term strategic vision, change management skills, ethical decision-making, and alignment with patient needs.
Ethics of generative AI Editorial from the Journal of Medical Ethics (2023)
Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia. A greater understanding of Australian healthcare professionals' perceptions of artificial intelligence (AI) is needed to identify the challenges ahead as this new technology finds its way into healthcare delivery.
Leadership for AI Transformation in Health Care Organization: Scoping Review The leaders of health care organizations are grappling with rising expenses and surging demands for health services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care delivery, alleviate operational burdens, and efficiently improve health care safety and quality.
We need to chat about Artificial Intelligence, MJA Long foretold and often dismissed, artificial intelligence (AI) is now reshaping how we work and interact as a society. For every claim that AI is overhyped and underperforming, only weeks or months seem to pass before a new breakthrough asks us to re-evaluate what is possible. Most recent, it is the very public arrival of large language models (LLMs) such as the generative pre-trained transformers (GPTs) in ChatGPT. In this perspective article, we explore the implications of this technology for health care and ask how ready the Australian health care system is to respond to the opportunities and risks that AI brings.

AI in Healthcare

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Introduction to AI in Healthcare

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