Accepted for/Published in: JMIR Research Protocols
Date Submitted: Mar 14, 2024
Date Accepted: Sep 27, 2024
Warning: This is an author submission that is not peer-reviewed or edited.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-supported digital microscopy diagnostics in primary health care laboratories: a scoping review protocol
ABSTRACT
Background:
Digital microscopy combined with artificial intelligence (AI) is increasingly being implemented in health care, predominantly in advanced laboratory settings. However, AI-supported digital microscopy could be especially advantageous in a primary health care setting since the methods could improve access to diagnostics via automation and a decreased need for experts on-site. To our knowledge no scoping or systematic review had been published on the on the use of AI-supported digital microscopy within primary health care laboratories when this scoping review was initiated. A scoping review can guide future research by offering insights to help navigate the challenges of implementing these novel methods in primary health care laboratories.
Objective:
The objective of this scoping review is to map available studies on AI-supported digital microscopy in primary health care laboratories in order to generate an overview of the subject.
Methods:
A systematic search of the databases PubMed, Web of Science, Embase, and IEEE will be conducted. Only articles in English will be considered and no limit on publication year will be applied. The concept inclusion criteria in the scoping review are studies that have applied AI-supported digital microscopy with the aim of achieving a diagnosis on the subject level. In addition, the studies must have been performed in the context of primary health care laboratories as defined by the criteria of not having a pathologist on site and using simple sample preparations. The proposed methodology is in accordance with the JBI methodology for scoping reviews.
Results:
The results will be presented in a table developed by the researchers, including information on investigated diseases, sample collection, preparation and digitization, AI-model used and results. Furthermore, the results will be described narratively to provide an overview of the studies included. The finalized scoping review is expected to be finalized by the end of 2024.
Conclusions:
The findings of this scoping review will provide a comprehensive overview of studies published in English on implementing AI-supported digital microscopy in primary health care laboratories. Clinical Trial: Open Science Framework DOI:10.17605/OSF.IO/YZ67T; Available from: https://osf.io/yz67t/
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