Hospital-Based Medicine

Surveillance

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

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Showing 1849-1869 of 7,968 articles
Cadence: A Benchmark Evaluation of the Narrative Velocity Framework for Next Clinical Event Prediction in MIMIC-IV

Objective: How structured clinical features and cluster-semantic embeddings interact under self-dist...

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology

Cancer screening is a reasoning task. A radiologist observes findings, compares them to prior scans,...

Simpler is not always better: Phylodynamic misspecification and deep-learning corrections

Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiol...

Enhancing dengue diagnosis and surveillance by integrating machine learning technologies with the NS1 rapid test kit

Background. Dengue has been a major health threat globally in recent years. In particular, dengue in...

Species-specific transformer models of bacterial gene order and content for genomic surveillance tasks

Transformer models enable functionally meaningful representation of complex biological data, such as...

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...

CladePredictor - MPXV: An alignment-free Artificial Intelligence-based classifier of complete and partial mpox virus genomes

Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of interna...

Generative diffusion models for spatiotemporal influenza forecasting

Forecasting infectious disease incidence can provide important information to guide public health pl...

Prognosis of stroke subtypes in whole population health systems data: a matched cohort study

Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...

Protocol for LLM-Generated CONSORT Report for Increased Reporting: A Parallel-Arm Randomized Controlled Trial (Protocol)

Background Randomized controlled trials (RCTs) often have incomplete methods reporting despite wides...

When Fairness Metrics Disagree: Evaluating the Reliability of Demographic Fairness Assessment in Machine Learning

The evaluation of fairness in machine learning systems has become a central concern in high-stakes a...

Physical Adversarial Attacks on AI Surveillance Systems:Detection, Tracking, and Visible--Infrared Evasion

Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillanc...

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation

We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style ima...

Toward Unified Fine-Grained Vehicle Classification and Automatic License Plate Recognition

Extracting vehicle information from surveillance images is essential for intelligent transportation ...

Predicting highly pathogenic avian influenza H5N1 outbreak risk using extreme weather and bird migration data in machine learning models

Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...

MedResearchBench: A Multi-Domain Benchmark for Evaluating AI Research Agents on Clinical Medical Research

The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...

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