AIMC Topic: Bacterial Infections

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Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data.

Advances in medical sciences Oct 16, 2024
PURPOSE: Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any surgical conditions or procedures, and is a common complication of cirrhosis. With a potential mortalit...
Bacterial Infections Bayes Theorem Peritonitis Male Humans Middle Aged Liver Cirrhosis Female Aged Machine Learning Biomarkers
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Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data.

Scientific reports Sep 30, 2024
Antibiotic resistance in bacterial pathogens is a major threat to global health, exacerbated by the misuse of antibiotics. In hospital practice, results of bacterial cultures and antibiograms can take several days. Meanwhile, prescribing an empirical...
France Proof of Concept Study Bacteria Bacterial Infections Bayes Theorem Humans Neural Networks, Computer Machine Learning Hospitalization Microbial Sensitivity Tests Anti-Bacterial Agents Drug Resistance, Bacterial
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Plasma cell-free RNA signatures of inflammatory syndromes in children.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2024
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circul...
Humans Machine Learning Male Infant Adolescent Child, Preschool COVID-19 Biomarkers Female Bacterial Infections Virus Diseases Cell-Free Nucleic Acids Mucocutaneous Lymph Node Syndrome Diagnosis, Differential Child Systemic Inflammatory Response Syndrome Inflammation
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Assessing ChatGPT's theoretical knowledge and prescriptive accuracy in bacterial infections: a comparative study with infectious diseases residents and specialists.

Infection Jul 12, 2024
OBJECTIVES: Advancements in Artificial Intelligence(AI) have made platforms like ChatGPT increasingly relevant in medicine. This study assesses ChatGPT's utility in addressing bacterial infection-related questions and antibiogram-based clinical cases...
Humans Generative Artificial Intelligence Bacterial Infections Internship and Residency Infectious Disease Medicine Artificial Intelligence Anti-Bacterial Agents Microbial Sensitivity Tests
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A Machine Learning Algorithm Avoids Unnecessary Paracentesis for Exclusion of SBP in Cirrhosis in Resource-limited Settings.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jun 19, 2024
BACKGROUND & AIMS: Despite the poor prognosis associated with missed or delayed spontaneous bacterial peritonitis (SBP) diagnosis, <15% get timely paracentesis, which persists despite guidelines/education in the United States. Measures to exclude SBP...
Male Middle Aged Liver Cirrhosis Paracentesis Unnecessary Procedures United States Bacterial Infections Retrospective Studies Female Aged Humans Machine Learning Algorithms Peritonitis Resource-Limited Settings
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Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making.

Paediatric drugs Jun 16, 2024
Bacterial infection is one of the major causes of neonatal morbidity and mortality worldwide. Finding rapid and reliable methods for early recognition and diagnosis of bacterial infections and early individualization of antibacterial drug administrat...
Bacterial Infections Neonatal Sepsis Machine Learning Anti-Bacterial Agents Clinical Decision-Making Infant, Newborn Humans
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Data-driven learning of structure augments quantitative prediction of biological responses.

PLoS computational biology Jun 3, 2024
Multi-factor screenings are commonly used in diverse applications in medicine and bioengineering, including optimizing combination drug treatments and microbiome engineering. Despite the advances in high-throughput technologies, large-scale experimen...
Models, Biological Plasmids Bioengineering Escherichia coli Regression Analysis Bacterial Infections Humans Computer Simulation Bacteria Machine Learning Drug Resistance, Bacterial
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Development and evaluation of an artificial intelligence for bacterial growth monitoring in clinical bacteriology.

Journal of clinical microbiology Apr 4, 2024
In clinical bacteriology laboratories, reading and processing of sterile plates remain a significant part of the routine workload (30%-40% of the plates). Here, an algorithm was developed for bacterial growth detection starting with any type of speci...
Artificial Intelligence Algorithms Automation, Laboratory Culture Media Sensitivity and Specificity Humans Bacteriological Techniques Bacterial Infections Bacteriology Image Processing, Computer-Assisted Bacteria
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Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation.

International journal of antimicrobial agents Feb 29, 2024
BACKGROUND: With increasing antibiotic resistance and regulation, the issue of antibiotic combination has been emphasised. However, antibiotic combination prescribing lacks a rapid identification of feasibility, while its risk of drug interactions is...
Drug Interactions Drug Therapy, Combination Anti-Bacterial Agents Retrospective Studies Humans Bacterial Infections Machine Learning Algorithms
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Deep Learning-Based Culture-Free Bacteria Detection in Urine Using Large-Volume Microscopy.

Biosensors Feb 5, 2024
Bacterial infections, increasingly resistant to common antibiotics, pose a global health challenge. Traditional diagnostics often depend on slow cell culturing, leading to empirical treatments that accelerate antibiotic resistance. We present a novel...
Urinary Tract Infections Humans Microscopy Bacteria Bacterial Infections Anti-Bacterial Agents Deep Learning
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