Hospital-Based Medicine

Surveillance

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

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Showing 1786-1806 of 7,968 articles
Predicting Subjective Cognitive Decline on Future BRFSS Survey Years: An Open Multi-Language Machine Learning Benchmark

Background and Objectives: Subjective cognitive decline (SCD), self-reported worsening confusion or ...

Data-Driven Geospatial Modeling and Forecasting of Malaria Burden to Support Control and Elimination in Africa

Malaria elimination is shaped by complex interactions among climatic, environmental, socioeconomic, ...

How to Demonstrate the Glucose Specificity of a Non-Invasive CGM: A Case Study of the SKAMo-2 Clinical Trial and Neogly™

Abstract Background: Every non-invasive continuous glucose monitoring (NI-CGM) technology introduced...

From Generalist to Specialist: A Context-Fusion Framework for Endoscopic Polyp Reporting with a Frozen VLM

Reliable endoscopic polyp reporting requires integrating quantitative lesion sizing, standardized Pa...

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting

Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratificat...

CT-$Δ$Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models

In medical imaging, the clinical value of Computed Tomography (CT) lies not only in depicting curren...

Deep Learning based Detection of Fishing Vessels and Fishing Monitoring using Nightlight Images

The demand for maritime surveillance has given rise to the need for monitoring fishing vessel activi...

Accurate Localization of Road Traffic Objects on the Road Plane Using Surveillance Camera Imagery

Accurate vehicle localization from monocular roadside surveillance cameras is important for intellig...

Learning Clinical-Trial Strategy: Offline Policy Training for Decision Agents

Clinical development is sequential decision-making under uncertainty, where a sponsor must plan a po...

Estimating Time-Inhomogeneous Transition Probabilities from District Level Daily COVID-19 Transmission Data in Sierra Leone

Abstract: Compartmental epidemic models conventionally treat the probability of moving between dis e...

TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak prepar...

Patient-Level Risk Characterization of Drug-Associated Hidradenitis Suppurativa Using Machine Learning

Hidradenitis suppurativa (HS) is a chronic, debilitating, inflammatory skin disorder. Medications ha...

Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines

While automated research systems promise to accelerate empirical analysis, they are prone to silent ...

Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks

Real-time forecasts of seasonal respiratory outbreaks are critical for public health preparedness an...

Machine learning and data-driven models for predicting post-stroke dysphagia: a systematic review and meta-analysis

Background: Post-stroke dysphagia (PSD) contributes to aspiration, pneumonia, malnutrition, prolonge...

A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data

Accurately attributing causes of death is vital for global health, yet fewer than 5% of deaths in re...

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Life-Stage Heterogeneity in the Mental Health Treatment Gap: An Unsupervised Machine Learning Profiling of Symptomatic US Adults

Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the m...

TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance

Active surveillance (AS) is the preferred strategy for favorable-risk prostate cancer, yet current p...

Comorbidity Exposure-Window Definitions and Multidimensional Disparities in Long COVID Risk: Evidence from a U.S. National Cohort (2020-2024)

Long COVID (LC) affects millions of individuals worldwide, particularly those with preexisting comor...

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ASTAR: Automated Induction of Standardized Radiology Reporting Templates from Large-Scale Clinical Free-Text Corpora

Structured reporting converts free-text radiology narratives into queryable data keys, facilitating ...

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