cloud-based machine-learning platform aiforia cloud and create (Aiforia Technologies)
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Cloud Based Machine Learning Platform Aiforia Cloud And Create, supplied by Aiforia Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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1) Product Images from "Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review"
Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Journal: Diagnostics
doi: 10.3390/diagnostics14050484
Figure Legend Snippet: The characteristics of the studies included regarding the application of machine learning to image analysis in clinical microbiology laboratory.
Techniques Used: Biomarker Discovery, Microscopy, Spectroscopy, Infection, Staining, Plasmid Preparation, Imaging, Agglutination, Confocal Microscopy, Raman Spectroscopy, Virus, Reverse Transcription, Amplification, Lamp Assay, Transmission Assay, Electron Microscopy
Related Articles
Microscopy:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Biomarker Discovery:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Spectroscopy:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Infection:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Staining:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Plasmid Preparation:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Imaging:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Agglutination:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Confocal Microscopy:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Raman Spectroscopy:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Virus:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Reverse Transcription:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Amplification:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Lamp Assay:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Transmission Assay:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, Electron Microscopy:Article Title: Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review Article Snippet: Holmström et al. [ ] (2020) , 125 , Thin blood and Giemsa-stained thick smear microscopy , Microscopic smear images , Article Title: A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy Article Snippet: For the first deep-learning system (DLS 1), the digitized samples were uploaded to a commercially available, |