AIMC Topic: Gram-Negative Bacterial Infections

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Implementing an AI-enhanced clinical decision support system for Stenotrophomonas maltophilia: a survey-based randomized controlled trial of antibiotic precision and impact on survival.

Implementation science : IS Oct 24, 2025
BACKGROUND: The World Health Organization has identified Stenotrophomonas maltophilia (SM) as a high-risk antibiotic-resistant pathogen. Notably, determining the effectiveness of current antibiotics against SM is challenging, leading to improper ther...
Humans Artificial Intelligence Anti-Bacterial Agents Middle Aged Decision Support Systems, Clinical Gram-Negative Bacterial Infections Stenotrophomonas maltophilia Drug Resistance, Bacterial Female Adult Male
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Rapid colorimetric antimicrobial susceptibilities direct from positive blood culture for Gram-negative bacteria.

Microbiology spectrum Sep 19, 2025
UNLABELLED: Bloodstream infections (BSIs) have become increasingly challenging to treat due to emerging antimicrobial resistance (AMR). As rapid administration of appropriate antimicrobials is crucial to positive patient outcomes, clinical alternativ...
Gram-Negative Bacterial Infections Humans Anti-Bacterial Agents Colorimetry Microbial Sensitivity Tests Bacteremia Blood Culture Gram-Negative Bacteria
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Use of machine learning for real-time antibiotic treatment adjustment in high-risk patients with CRGNB infection.

Computer methods and programs in biomedicine Jun 11, 2025
BACKGROUND: Infections caused by carbapenem resistant gram-negative bacilli (CRGNB) are associated with high mortality and pose a great challenge for clinical treatment. We aim to identify patients at high risk for CRGNB as early as possible and aler...
Drug Resistance, Bacterial Adult Humans Female Male Gram-Negative Bacterial Infections Machine Learning Risk Factors Middle Aged Anti-Bacterial Agents Aged Carbapenems
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Development and evaluation of a direct disk diffusion, rapid antimicrobial susceptibility testing method from blood culture positive for Gram-negative bacilli using rapid molecular testing and microbiology laboratory automation.

Microbiology spectrum May 15, 2025
Rapid antimicrobial susceptibility testing (RAST) using disk diffusion (DD) from positive blood cultures (BC) can aid initiation of effective antimicrobial therapy. Rapid molecular blood culture identification panels (BCID) and microbiology laborator...
Humans Automation, Laboratory Anti-Bacterial Agents Pseudomonas aeruginosa Disk Diffusion Antimicrobial Tests Gram-Negative Bacteria Gram-Negative Bacterial Infections Microbial Sensitivity Tests Klebsiella pneumoniae Blood Culture Escherichia coli
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High procalcitonin level is related to blood stream infections, gram-negative pathogens, and ICU admission in infections of adult febrile cancer patients.

Journal of the Egyptian National Cancer Institute May 10, 2025
BACKGROUND: Blood stream infection (BSI) represent a life-threatening condition. Thus, we aimed to investigate the role of procalcitonin (PCT) and C-reactive protein (CRP) tests in adult febrile patients with BSI and other clinical infections in hosp...
Gram-Negative Bacterial Infections Middle Aged Neoplasms Bacteremia Female Humans Blood Culture Procalcitonin Biomarkers Aged C-Reactive Protein Adult Intensive Care Units Fever Male Gram-Negative Bacteria
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A novel machine-learning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA-LAMP.

Journal of clinical microbiology Oct 24, 2024
Pathogenic gram-negative bacteria frequently carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbapenemases. Of great concern are carbapenem resistant , , and . Despite the need for rapid AMR diagnostics globally, current molecu...
Gram-Negative Bacterial Infections Bacterial Proteins beta-Lactamases Acinetobacter baumannii Gram-Negative Bacteria Humans Machine Learning Sensitivity and Specificity Smartphone Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques
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Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment.

Journal of global antimicrobial resistance Jun 22, 2024
OBJECTIVES: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth...
Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia Decision Support Systems, Clinical Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Gram-Negative Bacterial Infections Levofloxacin Anti-Bacterial Agents Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Humans Artificial Intelligence Machine Learning
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Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning.

BMC medical informatics and decision making May 14, 2024
BACKGROUND: Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2-5 days conventionally to return the results from doctor's order.
Humans Machine Learning Female Middle Aged Aged Anti-Bacterial Agents Gram-Negative Bacterial Infections Bacteremia Adult Drug Resistance, Bacterial Carbapenems Male Retrospective Studies Gram-Negative Bacteria Intensive Care Units
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Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.

International journal of antimicrobial agents Apr 19, 2024
OBJECTIVES: Colistin-induced nephrotoxicity prolongs hospitalisation and increases mortality. The study aimed to construct machine learning models to predict colistin-induced nephrotoxicity in patients with multidrug-resistant Gram-negative infection...
Male Middle Aged Drug Resistance, Multiple, Bacterial ROC Curve Colistin Gram-Negative Bacterial Infections Electronic Health Records Female Aged Adult Algorithms Humans Anti-Bacterial Agents Machine Learning Retrospective Studies
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Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

BioMed research international Jul 27, 2020
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patients are difficult to diagnosis. Metabolomic changes triggered by microbial activity provide us with the possibility of accurately identifying infection....
Databases, Factual Gram-Positive Bacterial Infections Male Humans Biomarkers Gram-Negative Bacterial Infections Middle Aged Machine Learning Female Diagnosis, Computer-Assisted Aged Sepsis
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