Surveillance

Divergent neuropsychiatric and systemic toxicity profiles of abemaciclib and palbociclib: a triangulation study integrating pharmacovigilance, genetic epidemiology, and multi-omics profiling.

Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epiderma...

Artificial intelligence in epidemiology: Challenges and opportunities.

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortali...

Beyond Diagnosis: A Systematic Review of Artificial Intelligence and Deep Learning in Monitoring Iron Overload and Organ Toxicity in Beta-Thalassemia.

Transfusion-dependent β-thalassemia (B-TM) is complicated by progressive iron overload, remaining a ...

Leveraging natural language processing software to implement and execute abdominal aortic aneurysm surveillance.

BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Ou...

Artificial intelligence for analysing antibiotic use: an exploratory study in a tertiary care paediatric hospital in Italy.

BACKGROUND: Monitoring antibiotic consumption and resistance is central to antimicrobial stewardship...

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of color...

[Applications of artificial intelligence for efficient hospital processes : From hype to clinical relief].

The use of artificial intelligence (AI) offers significant potential to increase efficiency in hospi...

Cybersecurity in Healthcare: A Systematic Review and Narrative Analysis.

BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last ...

Harnessing AI and bioinformatics to combat methicillin-resistant staphylococcus aureus: Innovations in genomic surveillance, diagnosis, and therapeutic development.

The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus...

Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pedia...

AI-based prediction of dengue incidence using climatic, environmental, and socio-demographic factors: an ensemble random forest approach with agile system development.

BACKGROUND: Dengue transmission in Indonesia is shaped by interacting climatic, environmental, and s...

Artificial intelligence predictions of knee kinematics, kinetics, and internal biomechanics during walking in people with knee osteoarthritis: A systematic review and meta-analysis.

This review synthesizes current literature on the use of artificial intelligence (AI) to predict kne...

Contemporary heart failure evidence in 2025: a joint summary of key trials from the European Journal of Heart Failure and ESC Heart Failure Journal.

Heart failure (HF) remains a major global health challenge, characterized by high morbidity, mortali...

Integrating Genomics and Proteomics to Identify Causal Proteins and Biologic Pathways for Incident Atrial Fibrillation in CKD.

KEY POINTS: Using proteomics and Mendelian randomization, we identified causal proteins for the deve...

A systematic review of machine learning approaches to bovine tuberculosis in cattle.

Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite...

AI-Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review.

Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial s...

DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains.

Tomato yellow leaf curl virus (TYLCV) is among the most devastating pathogens affecting tomato produ...

AI for Hospital Infection Prevention and Control: Real-World Implementation, Impact, and the Gap Beyond Model Development.

BACKGROUND: Artificial intelligence and machine learning (AI/ML) may strengthen hospital infection p...

Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.

BACKGROUND: Rapid and accurate identification of intracellular pathogenic Brucella species and biova...

Using Generative Artificial Intelligence to Identify Central Line-associated Bloodstream Infections.

BACKGROUND: Central line-associated blood stream infection (CLABSI) surveillance is mandated and pub...