Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Prediction of ICU length of stay, hospital discharge outcomes and discharge location among ICU-admitted patients diagnosed with viral hepatitis using machine learning: a retrospective cohort study of the MIMIC-IV database.

BACKGROUND: Hepatitis, a disease characterised by inflammation of the liver, is a leading global health challenge that contributes to over 1.3 million deaths annually, with hepatitis B and C accounting for many of these fatalities. Intensive care unit (ICU) management of patients is particularly challenging due to the complex clinical care and resource demands. Despite advancements in ICU predicti...

Jun 9 2026 42264531

The combined use of in vivo confocal microscopy and optical coherence tomography in monitoring corneal infections.

BACKGROUND/AIMS: Infectious keratitis (IK) is a major cause of blindness worldwide, requiring prompt diagnosis and management. This study evaluates the diagnostic and evaluative roles of in vivo confocal microscopy (IVCM) and anterior segment optical coherence tomography (AS-OCT) in acute IK through correlating the characteristic imaging features of both modalities. MATERIALS AND METHODS: In this ...

Jun 9 2026 42265267
Deep learning approach for probabilistic pulmonary function estimation from chest X-ray and peak expiratory flow rate.

BACKGROUND: Spirometry remains the gold standard for assessing pulmonary function. Deep learning models have demonstrated potential for estimating mea...

Jun 9 2026 42265327
Artificial intelligence in pediatric intensive care units: current applications in sepsis management.

BACKGROUND: Early detection of sepsis in pediatric intensive care units (PICUs) is critical, but challenging due to its nonspecific clinical presentat...

Jun 9 2026 42265523
Wave-aware mortality prediction in COVID-19: a multi-stage feature selection and explainable machine-learning framework.

BACKGROUND: Mortality among hospitalized COVID-19 patients changed markedly across successive epidemic waves as circulating variants shifted, populati...

Jun 9 2026 42265656
Identifying communities at elevated risk of hepatitis C infection in Los Angeles County: an ecological study using machine learning.

BACKGROUND: Identifying communities disproportionately affected by hepatitis C infection is essential for targeted prevention and resource allocation....

Jun 9 2026 42265658
Advancing One Health genomics in Africa: opportunities and challenges for outbreak and antimicrobial resistance control.

SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics a...

Jun 9 2026 42262139
Predictors of Detectable Viral Load among Adolescents with HIV in Low Resource Settings who are Receiving Care in Youth-Friendly Clinics.

OBJECTIVE: Adolescents with HIV (AWH) have higher rates of detectable viral loads (DVL) than adults. We sought to identify clinical and psychosocial p...

Jun 9 2026 42262345
Machine Learning Approaches Using High-Throughput Profiling Data for Antibiotic Discovery.

Antibiotic-resistant bacterial infections continue to increase globally, creating an urgent need for new antibacterials with novel mechanisms of actio...

Jun 9 2026 42263014
Prediction of hospitalisation in young children with pneumonia in Malawi: A machine learning-based approach.

BACKGROUND: Globally, pneumonia remains the single biggest cause of mortality in children under 5 years of age. This study sought to train and test a ...

Jun 9 2026 42263118
Dynamics of botnet propagation model in complex networks considering hybrid method for botnet detection.

In this paper, a dynamic epidemic model of botnet attack propagation in scale-free networks is introduced based on the epidemic model. The proposed at...

Jun 9 2026 42263091
Preliminary evaluation of an AI-enhanced simulated interprofessional learning intervention for pharmacy students: a mixed-methods pilot study.

BACKGROUND: Interprofessional education (IPE) is vital for preparing pharmacy students for collaborative practice but is often constrained by logistic...

Jun 8 2026 42260487
Updating CMV protocols in lung transplant patients: a single-center case study modeling use of generative AI for antimicrobial stewardship protocol development and economic impact analysis.

OBJECTIVE: Antimicrobial Stewardship Programs (ASPs) need healthcare economic analyses to support and inform ASP strategies. This work aimed to determ...

Jun 8 2026 42252971
Acute brain dysfunction clusters in COVID-19: a pilot machine learning-based analysis of the COVID-D cohort.

PURPOSE: While acute brain dysfunction (ABD, i.e., delirium and coma) is associated with significantly increased morbidity in critically ill patients,...

Jun 8 2026 42257978
Integrating google trends and hybrid statistical-machine learning models for dengue surveillance in an inland vietnamese province: a 94-month evaluation (2013-2021) with search-signal anomaly screening.

Dengue transmission in inland Southeast Asia shows strong seasonality and short-term surges that challenge timely public-health response. We assessed ...

Jun 8 2026 42258012
Rehabilitation Protocols Following Patellar Instability Surgery: A Structured Review of Published Recommendations and AI Generated Guidance.

PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament r...

Jun 8 2026 42258047
Exploring the gut-lung axis in post-liver transplant acute lung injury: A multi-omics approach.

Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lu...

Jun 8 2026 42258310
Artificial intelligence enabled performance evaluation of an enhanced SPR biosensor for malaria diagnosis.

Malaria remains a serious global health problem, particularly in areas where drug-resistant Plasmodium species and the expanded geographical distribut...

Jun 8 2026 42260080
A deep learning system for bacterial identification and resistance prediction from MALDI-TOF data.

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) data contain underutilized information beyond species id...

Jun 8 2026 42260134
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