Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon.

Authors:
Meulah B; Oyibo P; Hoekstra PT; Moure PAN; Maloum MN and 9 more

Journal:
PLoS Negl Trop Dis

Publication Year: 2024

DOI:
10.1371/journal.pntd.0011967

PMCID:
PMC10917302

PMID:
38394298

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Journal Information

Journal Title: PLoS Negl Trop Dis

Detailed journal information not available.

Publication Details

Subject Category: Tropical Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score

4/6

66.7% Transparent

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Core Indicators

Data Sharing

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COI Disclosure

Evidence found in paper:

"The authors have declared that no competing interests exist."

Funding Disclosure

Evidence found in paper:

"This work was funded by NWO-WOTRO Science for Global Development program, grant no. W 07.30318.009 (INSPiRED—INclusive diagnoStics for Poverty REIated parasitic Diseases in Nigeria and Gabon) to LvL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."

Protocol Registration

Evidence found in paper:

"Trial registration NCT04505046 ClinicalTrials.gov."

Open Access

Paper is freely available to read

Additional Indicators

Replication

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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025