Hospital-Based Medicine

Surveillance

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

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Showing 1471-1491 of 7,569 articles
DELTA: Fortifying Human Biological Resilience with an N=1 Digital Health and Dynamic Biomarker Protocol

Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in y...

Evaluating image upsampling strategies for downstream microscopy image classification

Microscopy images are frequently downsampled due to acquisition and computational constraints, requi...

Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models

Accurately characterising mosquito infection dynamics is essential for effective dengue prevention a...

Layer-Specific Fine-Tuning for Improved Negation Handling in Medical Vision-Language Models

Negation is a fundamental linguistic operation in clinical reporting, yet vision-language models (VL...

Wastewater-informed neural compartmental model for long-horizon case number projections

Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, bu...

BRIDGE: Biological Antimicrobial Resistance Inference viaDomain-Knowledge Graph Embeddings

Antimicrobial resistance (AMR) is a growing global health crisis, responsible for an estimated 1.27 ...

A multi-agent platform for assessment and improvement of bioinformatics software documentation

Rapid advances in bioinformatics have transformed biomedical research in areas such as single-cell a...

In-Hospital Stroke Prediction from PPG-Derived Hemodynamic Features

The absence of pre-hospital physiological data in standard clinical datasets fundamentally constrain...

Early Detection of Absurdity Signals in Pharmacovigilance: A Machine Learning Ensemble Approach to Identify Rare Adverse Drug Reactions

Background: Traditional pharmacovigilance methods based on biostatistical approaches systematically ...

One-Shot Crowd Counting With Density Guidance For Scene Adaptaion

Crowd scenes captured by cameras at different locations vary greatly, and existing crowd models have...

An AI Agent for Automated Causal Inference in Epidemiology

Abstract Objective: To address the inefficiency, subjectivity, and high expertise barrier of traditi...

Predictive Modeling of COVID-19 Variant Peak Prevalence and Duration Using GISAID Data Across 15 Countries

BackgroundRapid emergence and replacement of SARS-CoV-2 variants underscore the need for early and r...

NeuroConText: Contrastive Learning for Neuroscience Meta-Analysis with Rich Text Representation

Brain meta-analysis is the common way to gather information about human brain function across the ex...

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals

Performance uncertainty quantification is essential for reliable validation and eventual clinical tr...

AI-Powered Acoustic Surveillance for Early Detection of Calf Respiratory Disease

Effective management of Bovine Respiratory Disease Complex (BRDC) requires timely, non-invasive diag...

Transmission Dynamics of Eastern Equine Encephalitis Infection Rates: The Role of Avian Host Stage and Differential Mosquito Exposure

Eastern equine encephalitis virus (EEEV) is a deadly arboviral pathogen with 30% severe case fatalit...

Drastic changes in collaboration networks and publication patterns in research using the CDC WONDER dataset

The growth of generative AI and easily available Open Access health datasets has transformed researc...

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