Australia’s contribution to Artificial Intelligence research in medicine

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Objectives: Artificial intelligence (AI) research is undergoing a renaissance, brought about by advances in both machine
learning (ML) and deep learning (DL). There is currently no data on Australia's contribution to AI research in medicine.
We performed a bibliometric analysis to assess the quantity and quality of scientific publications concerning AI in
medicine over the last ten years, and compare results from Australia to nine other countries publishing in this domain.
Methods: The SCOPUS database was searched for all journal articles or conference papers containing the words
“artificial intelligence”, “machine learning” or “deep learning” published in subject areas related to medicine from 1
January 2008 to 31 December 2017.
Results: Australia was the source of 470 papers from 2008 to 2017 and accounted for 3.45% of world’s AI, ML, and DL
in medicine publications over this period. Worldwide, publications increased significantly, especially in the last 2 years
of the period studied. The increase in output was notable from China (254%), India (179%), Australia (149%), and the
United States (142%). When 2016 publication output is adjusted by population Australia ranks third (behind Canada and
the United Kingdom), but the trend is not statistically significant. We found no significant variation in the average
number of citations received per paper in any of the top publishing countries.
Conclusion: The publication rate for AI, ML, and DL related to medicine has increased over the last 10 years.
Australia’s contribution to AI research in this area, measured as both average citation rate or adjusted by country
population is comparable in quantity and quality to other leading countries.
Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalTasman Medical Journal
Issue number2
Publication statusPublished - 9 Mar 2021


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