Image-based artificial intelligence spots parasitic worm infections in children's stool samples

Image-based artificial intelligence spots parasitic worm infections in children's stool samples, particularly light intensity infections that may be missed by manual microscopy.

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Article URL: http://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0012041

Article Title: Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting

Author Countries : Finland, Kenya, Sweden

Funding: This research was financially supported by The Erling-Persson Foundation (grant number 2021 0110) JL, Vetenskapsrådet (grant number 2021-04811) JL, Finska Läkaresällskapet r.f. JL, Medicinska Understödsföreningen Liv och Hälsa rf JL and Wilhelm och Else Stockmanns stiftelse JL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

PLOS Global Public Health

10.1371/journal.pntd.0012041

Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting

11-Apr-2024