Hospital-Based Medicine

Surveillance

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

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Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.

Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level hea...

May 2025 40431340
Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...

May 2025 40401036
AI-Enabled Diagnostic Prediction within Electronic Health Records to Enhance Biosurveillance and Early Outbreak Detection.

Detecting infectious disease outbreaks promptly is crucial for effective public health responses, mi...

May 2025 40463569
Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...

May 2025 40453809
Surveillance of SARS-CoV-2 RNA in wastewater treatment plants in Türkiye, Istanbul: a long-term study and statistical analysis.

Wastewater-based epidemiology (WBE) is a powerful method that allows community surveillance to ident...

May 2025 40353924
Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2.

Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patt...

May 2025 40334465
Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

May 2025 39939167
Deep neural networks reveal organic pollutants' dominance in global inflammatory bowel disease.

Inflammatory bowel disease (IBD) is increasing globally, with risk factors still poorly understood a...

Apr 2025 41177636
Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods.

Background This investigation delves into the potential application of data-driven survival modeling...

(1)
Apr 2025 40262081
Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

(1)
Apr 2025 40273730
Explainable machine learning for predicting lung metastasis of colorectal cancer.

Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, estab...

Apr 2025 40253427
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model.

Lymph node status is a critical prognostic predictor for patients; however, the prognosis of colorec...

Apr 2025 40323788
DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model.

Violence recognition in surveillance videos is a vital feature of current security systems. It can i...

Apr 2025 40240369
Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely collected primary healthcare records.

BACKGROUND: Methods that enable early outbreak detection represent powerful tools in epidemiological...

Apr 2025 40241011
Transfer Learning Enhanced Blood Pressure Monitoring Based on Flexible Optical Pulse Sensing Patch.

Blood pressure (BP), a crucial health biomarker, is essential for detecting early indications of car...

Apr 2025 40234248
Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.

Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitativ...

(1)
Apr 2025 40211017
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

Given radiology images, automatic radiology report generation aims to produce informative text that ...

Apr 2025 40031357
A neural network approach to glomerular filtration rate estimation: a single-centre retrospective audit.

OBJECTIVES: The 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation without ra...

Apr 2025 40223657
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