2023
DOI: 10.3390/diagnostics13203246
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Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria

Dina Yamin,
Vuk Uskoković,
Abubakar Wakil
et al.

Abstract: Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, mol… Show more

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Cited by 26 publications
(4 citation statements)
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“…Incorporating machine learning techniques such as convolutional neural networks (CNNs) has significantly enhanced the speed and accuracy of diagnoses by automatically classifying imaging data based on computed parameters [ 29 ]. Additionally, emerging technologies such as thermography and electrical impedance tomography (EIT) provide non-invasive and radiation-free alternatives for early detection and risk assessment in conditions such as breast cancer [ 31 ]. While these innovative modalities offer promising applications, they also encounter specificity, resolution, and regulatory acceptance challenges.…”
Section: Reviewmentioning
confidence: 99%
“…Incorporating machine learning techniques such as convolutional neural networks (CNNs) has significantly enhanced the speed and accuracy of diagnoses by automatically classifying imaging data based on computed parameters [ 29 ]. Additionally, emerging technologies such as thermography and electrical impedance tomography (EIT) provide non-invasive and radiation-free alternatives for early detection and risk assessment in conditions such as breast cancer [ 31 ]. While these innovative modalities offer promising applications, they also encounter specificity, resolution, and regulatory acceptance challenges.…”
Section: Reviewmentioning
confidence: 99%
“…These tests are the first molecular tests for determining resistance to this drug (World Health Organization (WHO), 2021). However, healthcare professionals should have a clear understanding of the strengths and limitations of certain technologies in order to make informed decisions in fighting antibiotic resistance and improving patient outcomes (Kotze et al, 2020;Yamin et al, 2023).…”
Section: Antimicrobial Resistancementioning
confidence: 99%
“…Advances in molecular biology, genomics, proteomics, nanotechnology, and bioinformatics have paved the way for developing novel techniques that offer enhanced sensitivity, specificity, and rapidity in microbial identification and characterization. These innovative approaches hold immense promise for improving disease diagnosis, antibiotic stewardship, and AMR containment efforts [ 6 ]. This review article aims to provide a comprehensive overview of innovative paradigms in microbial detection and AMR surveillance, focusing on methods beyond traditional cultural approaches.…”
Section: Introductionmentioning
confidence: 99%