Medical microbiology plays a crucial role in diagnosing infectious diseases and guiding treatment decisions. Traditional diagnostic methods have limitations in terms of accuracy, speed and cost-effectiveness. In recent years, the integration of Artificial Intelligence (AI) into medical microbiology has shown great promise in revolutionizing diagnostic approaches. AI technologies, such as machine learning and deep learning algorithms, have enabled the analysis of vast amounts of microbiological data, leading to improved disease detection, personalized treatments, and better patient outcomes. This article explores the applications of AI in medical microbiology, highlights its benefits, and discusses potential challenges and future prospects. Keywords: Artificial Intelligence, Medical Microbiology, Diagnostics, Machine Learning, Deep Learning.
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Medical Microbiology & Diagnosis received 14 citations as per Google Scholar report
