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- W4285131772 abstract "The burden of infectious diseases on the world is overwhelming. The advent of novel technologies like machine learning (ML) and artificial intelligence (AI) has brought a paradigm shift in the manner in which the world is tackling these diseases. Clinical microbiology laboratories have undergone complete transformation—from manual processing of specimens to technology-driven automation and digitalization. We discuss here the integration of AI in clinical microbiology for image analysis of gram stains, automated digital culture plate reading, identification of bacterial isolates using matrix-assisted laser desorption-ionization/time of flight mass spectrometry (MALDI-TOF) data, and whole genome sequencing of microbial pathogens. We have also explored the application of AI in infection prevention and control especially in hospital acquired infections, surveillance, and epidemiology of diseases. Contributions of AI during the ongoing fight against Coronavirus disease (COVID-19) pandemic have been huge in the areas of surveillance, diagnosis, and treatment." @default.
- W4285131772 created "2022-07-14" @default.
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- W4285131772 date "2022-01-01" @default.
- W4285131772 modified "2023-09-29" @default.
- W4285131772 title "Role of Artificial Intelligence in Diagnosis of Infectious Diseases" @default.
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- W4285131772 doi "https://doi.org/10.1007/978-981-16-4345-3_8" @default.
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