Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles.

ABSTRACT:

Background

Understanding lung deposition dose of black carbon is critical to fully reconcile epidemiological evidence of combustion particles induced health effects and inform the development of air quality metrics concerning black carbon. Macrophage carbon load (MaCL) is a novel cytology method that quantifies lung deposition dose of black carbon, however it has limited feasibility in large-scale epidemiological study due to the labor-intensive manual counting.

Objective

To assess the association between MaCL and episodic elevation of combustion particles; to develop artificial intelligence based counting algorithm for MaCL assay.

Methods

Sputum slides were collected during episodic elevation of ambient PM_2.5 (n = 49, daily PM_2.5 > 10 µg/m³

SUBMITTER: Jiang M 

PROVIDER: S-EPMC11021374 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature