AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review.

Journal: JMIR research protocols
PMID: 39486020

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 primary health care settings, since such methods could improve access to diagnostics via automation and lead to a decreased need for experts on site. To our knowledge, no scoping or systematic review had been published 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 providing insights to help navigate the challenges of implementing these novel methods in primary health care laboratories.

Authors

  • Joar von Bahr
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
  • Vinod Diwan
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
  • Andreas Mårtensson
    Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Nina Linder
    Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
  • Johan Lundin
    Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

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