Artificial Intelligence Applications in the Diagnosis and Treatment of Bacterial Infections
DOI:
https://doi.org/10.54536/ajmsi.v4i2.5420Keywords:
Artificial Intelligence, Bacterial Diagnostics, Bacterial Infections, Knowledge Engineering, MALDI-TOF, PersonalizationAbstract
In today’s era Artificial Intelligence (AI) is the fruitful and informative tool to treat the bacterial infections. AI features provide the outcomes more effectively, accurately, manifest the disease parameters in shorter period of time which results in safe and potential life. Knowledge Engineering (KE)-based approaches have confirmed in cost-effective, reduce dependency on particular structure and detect the bacterial infection by various mode of testing machines like antimicrobial susceptibility testing (AST) by leveraging machine learning models, Support Vector Machines (SVM), and deep learning architectures such as Convolutional Neural Networks (CNNs) and transformers. Thus, it also enables the bacterial detection through Smartphone-integrated platforms and telemedicine applications. These integrated platforms will help in the research of drugs and vaccines that can use in the antibiotics resistance treatment. Furthermore, AI technology has a widespread deployment in detection of the bacterial resistance strains, transforming the bacterial infection. Its algorithms can easier analyze various data sources like genomic data, clinical data and capture of proper image helps to identify the different bacterial species and strains. AI also assist in the applications of laboratory diagnostics and clinical microbiology to recognize the Gram Positive Or Gram Negative bacteria by plate counting, mass spectrometry for example, MALDI-TOF MS data which accurately classifies different Staphylococcus aureus subspecies. Morphology-based and motion-based microscopic detection, holographic microscopy, colorimetric and fluorescence detection, electrochemical sensors, Raman and Surface-Enhanced Raman Spectroscopy (SERS), and Atomic Force Microscopy (AFM) and AST all these methodologies help in bacterial diagnosis, offering improved precision, reduce the time period between sampling and result resolution. It is very useful novel technique in finding the new antibiotics and to localize the site of action that is directly deliver the drug to the targeted site. AI tool act as a right hand for medical researchers, doctors, nurses that provide best result to overcome the challenges in bacterial infection cure, reduced the side effects; improves patient –compliance and promote healthy life with proper personalization.
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