Evaluation of the Diagnostic Performance and Validation of an AI-Assisted Fluorescence Imaging Device for Fecal Egg Counts Against the Manual McMaster Reference Method in Kiko Male Goats

Gastrointestinal parasites are a major health and economic concern in small ruminants. The classic microscopic approach using the manual McMaster method serves to quantitatively count parasite eggs, which are labor-intensive and prone to variation. Artificial intelligence-based systems (Parasight<su...

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Главные авторы:	Ahmadreza Mirzaei, Alireza Rahmani Shahraki, Fiona P. Maunsell, Brittany N. Diehl
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2026-01-01
Серии:	Animals
Предметы:	fecal egg count artificial intelligence goat parasitology automated imaging system diagnostic performance
Online-ссылка:	https://www.mdpi.com/2076-2615/16/2/248
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