Assessment of racial and ethnic differences in oxygen supplementation among patients in the intensive care unit

ER Gottlieb, J Ziegler, K Morley, B Rush… - JAMA internal …, 2022 - jamanetwork.com
Importance Pulse oximetry (SpO 2) is routinely used for transcutaneous monitoring of blood
oxygenation, but it can overestimate actual oxygenation. This is more common in patients of …

[HTML][HTML] Advancing patient safety: the future of artificial intelligence in mitigating healthcare-associated infections: a systematic review

D Radaelli, S Di Maria, Z Jakovski, D Alempijevic… - Healthcare, 2024 - mdpi.com
Background: Healthcare-associated infections are infections that patients acquire during
hospitalization or while receiving healthcare in other facilities. They represent the most …

Predicting acute kidney injury risk in acute myocardial infarction patients: an artificial intelligence model using medical information mart for intensive care databases

D Cai, T Xiao, A Zou, L Mao, B Chi, Y Wang… - Frontiers in …, 2022 - frontiersin.org
Background Predictive models based on machine learning have been widely used in
clinical practice. Patients with acute myocardial infarction (AMI) are prone to the risk of acute …

Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy

F Pennisi, A Pinto, GE Ricciardi, C Signorelli… - European Journal of …, 2025 - Springer
The increasing threat of antimicrobial resistance has prompted a need for more effective
antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning …

Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records

M Nigo, L Rasmy, B Mao, BS Kannadath, Z Xie… - Nature …, 2024 - nature.com
Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and
mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing …

[HTML][HTML] A systematic evaluation of advanced machine learning models for nickel contamination management in soil using spectral data

K Li, T Hu, M Zhou, M Wu, Q Chen, C Qi - Journal of Hazardous Materials …, 2024 - Elsevier
Soil nickel (Ni) contamination attributes a crucial environmental concern because its
adverse effects on people health and ecosystem. Numerous studies have estimated Ni …

Impact of the implementation of the Intelligent Antimicrobial System (iAMS) on clinical outcomes among patients with bacteraemia caused by methicillin-resistant …

LC Ho, CY Chi, YS You, YW Hsieh, YC Hou… - International Journal of …, 2024 - Elsevier
Objectives This study aimed to investigate the clinical impact of the Intelligent Antimicrobial
System (iAMS) on patients with bacteraemia due to methicillin-resistant (MRSA) and …

Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study

R Gouareb, A Bornet, D Proios, SG Pereira… - Health Data …, 2023 - spj.science.org
Background: While Enterobacteriaceae bacteria are commonly found in the healthy human
gut, their colonization of other body parts can potentially evolve into serious infections and …

Physics-informed neural entangled-ladder network for inhalation impedance of the respiratory system

AK Kumar, S Jain, S Jain, M Ritam, Y Xia… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objectives: The use of machine learning methods for modelling
bio-systems is becoming prominent which can further improve bio-medical technologies …

Modeling relaxed policies for discontinuation of methicillin-resistant Staphylococcus aureus contact precautions

J Cui, J Heavey, L Lin, EY Klein… - Infection Control & …, 2024 - cambridge.org
Objective: To evaluate the economic costs of reducing the University of Virginia Hospital's
present “3-negative” policy, which continues methicillin-resistant Staphylococcus aureus …