Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens

Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens

ABSTRACT Mycobacteria, including Mycobacterium tuberculosis (MTB) and non-tuberculosis mycobacteria (NTM), are important causes of infectious disease and cause significant mortality and morbidity globally. Fast detection is extremely important to reduce transmission and mortality associated with the...

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Main Authors: Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir
Format: Article
Language:English
Published: American Society for Microbiology 2025-08-01
Series:Microbiology Spectrum
Subjects:
acid-fast bacilli
mycobacteria
artificial intelligence
digital pathology
microbiology
object detection
Online Access:https://journals.asm.org/doi/10.1128/spectrum.00602-25
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https://journals.asm.org/doi/10.1128/spectrum.00602-25

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