Skip to Main Content
Library and Information Services for the East Metropolitan Health Service and the South Metropolitan Health Service banner Library and Information Services for the East Metropolitan Health Service and the South Metropolitan Health Service home Library and Information Services for the East Metropolitan Health Service and the South Metropolitan Health Service logo

Artificial Intelligence

Artificial intelligence and machine learning

Journal sources: 

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare - Nature Medicine - 16 January 2023

Luke Oakden-Rayner, PhD Candidate / Radiologist, South Australia - blog

Implementing Artificial Intelligence in Canadian Healthcare: A kit for getting started - Healthcare Excellence Canada - November 2021

National AI Strategy - UK Office for Artificial Intelligence, Department for Digital, Culture, Media & Sport, and Department for Business, Energy & Industrial Strategy - 22 September 2021

Tools for trustworthy AI. A framework to compare implementation tools for trustworthy AI systems - OECD - 28 June 2021

What is needed to mainstream artificial intelligence in health care? - Australian Health Review - 24 June 2021

Artificial intelligence and medical imaging: applications, challenges and solutions - MJA - 13 May 2021

Clinician checklist for assessing suitability of machine learning applications in healthcare. Ian Scott, Stacey Carter, Enrico Coiera. BMJ Health Care Inform . 2021 Feb;28(1):e100251. doi: 10.1136/bmjhci-2020-100251.

AI and healthcare. Research briefing - UK Parliament - 18 January 2021

Machine Learning in Medicine - A Complete Overview 2nd ed / Ton J. CleophasAeilko H. Zwinderman.  Springer Nature, 2020

What Is Augmented Intelligence? - IEEE - 2020

Artificial vs augmented intelligence: what’s the difference? - The Next Web - 2020

AI Augmentation: The Real Future of Artificial Intelligence - Forbes - 2019

What is the difference between artificial and augmented intelligence? - TechTalks - 2017

What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.   Herbert Simon, the Nobel winning economist and father of AI