Variability of interobserver interpretation of selected helminth ova in the development of a training image set
Rupert Stephen Charles S Chua, Kiersten A Henderson, Lorenzo Maria C de Guzman, Vicki Foss, Nathaniel Schub, Cameron Bell, John Robert C Medina, Taggart G Siao, Myra S Mistica, Maria Luz B Belleza, Marie Cris R Modequillo, Nadine Joyce C Torres, Vicente Y Belizario, Variability of interobserver interpretation of selected helminth ova in the development of a training image set, International Health, 2025;, ihae085, https://doi.org/10.1093/inthealth/ihae085
Abstract
Diagnosis of soil-transmitted helminthiasis and schistosomiasis for surveillance relies on microscopic detection of ova in Kato–Katz (KK) prepared slides. Artificial intelligence (AI)-based platforms for parasitic eggs may be developed using a robust image set with defined labels by reference microscopists. This study aimed to determine interobserver variability among reference microscopists in identifying parasite ova.