Accepted for/Published in: Interactive Journal of Medical Research
Date Submitted: Oct 8, 2019
Open Peer Review Period: Oct 8, 2019 - Nov 5, 2019
Date Accepted: Dec 15, 2019
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Artificial intelligence in medical literature search – The future of medical literature research?
ABSTRACT
Background:
Mapping out the research landscape around a project is often time consuming and difficult.
Objective:
The current study evaluates a commercial artificial intelligence (AI) search engine (IRIS.AI) for its applicability to automated literature search on a particular medical topic.
Methods:
To evaluate the AI Search engine in a standardized manner, the concept of a science hackathon (Scithon) was applied. Three groups of researchers were tasked with performing a literature search on a clearly defined scientific project. All participants had a high level of expertise for this specific field of research. Two groups were given access to the AI search engine IRIS.A. All groups had the same amount of time for their search and were instructed to document their result. Search results were summarized and ranked according to a predetermined scoring system.
Results:
Final scoring awarded 49 and 39 points out of 60 to the groups using AI, and 46 points to the control group. 20 scientific studies with high relevance were identified.
Conclusions:
AI technology is a promising approach to facilitate literature search and management of medical libraries. The scientific hackathon strategy might be an efficient tool to perform a literature search and to objectively compare different search strategies.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.