Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture.
David J AlouaniEric M RansomMehul JaniCarey-Ann BurnhamDaniel D RhoadsNavid SadriPublished in: Clinical chemistry (2022)
Our study provides a roadmap on how BacterioSight or similar deep learning prototypes may be implemented to screen for microbial growth, flag difficult cases for multi-personnel review, or auto-verify a subset of cultures with high confidence. In addition, our results highlight image interpretation variability by trained technologist within an institution and globally across institutions. We propose a model in which deep learning can enhance patient care by identifying inherent sample annotation variability and improving personnel training.