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The characteristics of the studies included regarding the application of machine learning to image analysis in clinical microbiology laboratory.

Journal: Diagnostics

Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review

doi: 10.3390/diagnostics14050484

Figure Lengend Snippet: The characteristics of the studies included regarding the application of machine learning to image analysis in clinical microbiology laboratory.

Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Cloud-based machine-learning platform (Aiforia Cloud and Create), GoogLeNet network , Digitalization of blood smears, application of deep learning (DL) algorithms to detect Plasmodium falciparum.

Techniques: Biomarker Discovery, Microscopy, Spectroscopy, Infection, Staining, Plasmid Preparation, Imaging, Agglutination, Confocal Microscopy, Raman Spectroscopy, Virus, Reverse Transcription, Amplification, Lamp Assay, Transmission Assay, Electron Microscopy