Medical Microbiology & Diagnosis

Department of Pathology and Microbiology, University of California-Davis, CA 95616, USA

Publications

• Mini Review   
  Artificial Intelligence in Medical Microbiology: Revolutionizing Diagnostic Approaches
  Author(s): Krystal Steven*
  
  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... Read More»
  DOI: 10.37421/2161-0703.2023.12.415

  Abstract HTML PDF