Hospital-Based Medicine

Surveillance

Latest AI and machine learning research in surveillance for healthcare professionals.

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Trust at risk: Why public health must lead the use of AI in pandemic preparedness.

Artificial intelligence (AI) is poised to play a transformative role in pandemic preparedness, with ...

(1)
Jan 2026 41581394
A review of AI/ML approaches in wastewater surveillance advancement.

Wastewater-based epidemiology (WBE) has emerged as a powerful tool for early detection and monitorin...

Jan 2026 41576591
The Future of Non-muscle-invasive Bladder Cancer: Towards a Molecular-Digital Paradigm for Personalized Management.

The management of non-muscle-invasive bladder cancer (NMIBC) is undergoing a major paradigm shift dr...

Jan 2026 41577500
Managing Conflict of Interest in Clinical Practice Guidelines With Artificial Intelligence: Insights From Large Language Models and Beyond.

BACKGROUND: Conflict of interest (COI) management is critical for ensuring the scientific integrity ...

Jan 2026 41571612
A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation.

Glaucoma is the leading cause of irreversible blindness worldwide with heterogeneous progression rat...

(1)
Jan 2026 41571781
From Evidence-based Endodontics to Generative AI: A Comparative Study of 11 Large Language Models.

INTRODUCTION: Generative large language models (LLMs) are increasingly used in dentistry, yet their ...

Jan 2026 41577028
Evolving strategies may facilitate oral pathology and cancer surveillance, monitoring, and detection for patients at risk.

BACKGROUND: Oral cancers account for considerable morbidity and mortality worldwide, and their incid...

Jan 2026 41563162
Vancomycin resistance in gram-positive infections: evolutionary strategies of survival.

Vancomycin is a critical glycopeptide antibiotic for treating severe infections caused by Gram-posit...

Jan 2026 41563485
Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data.

Gridded livestock distribution datasets have been produced for several years and are used in various...

Jan 2026 41563992
Personalized surveillance in giant congenital melanocytic nevus, including the role of AI, histopathology and MC1R genotyping: A case report.

Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry...

Jan 2026 41624622
Structured reporting in knee MRI.

Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiolog...

Jan 2026 41555031
Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation.

AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts...

Jan 2026 41556156
Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping ...

Jan 2026 41556569
Machine Learning Prediction of Chronic Kidney Disease in Elderly MetS Patients Using NHANES 2011-2020 Data.

BACKGROUND: Chronic kidney disease (CKD) is getting more common in elderly people with metabolic syn...

Jan 2026 41371294
Using artificial intelligence to advance pediatric infection prevention and control.

PURPOSE OF REVIEW: Recent literature describes the deployment of different artificial intelligence (...

Jan 2026 41568703
Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.

BACKGROUND: Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in th...

Jan 2026 41544251
Predictive modeling and spatiotemporal analysis of TB in Argentina: Advancing control efforts through machine learning.

OBJECTIVES: To improve prediction and understanding of TB dynamics in Argentina, identifying key ris...

Jan 2026 41546984
Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications.

CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician...

Jan 2026 41633287
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