Hospital-Based Medicine

Surveillance

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

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A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

Large-Scale Assessment of Animal-to-Human Drug Translation Using Natural Language Processing

Background: Large-scale estimates of animal-to-human drug translation and the study characteristics ...

Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated wi...

Predicting Distant Melanoma Metastasis at Diagnosis Using Machine Learning

Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...

Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow Efficiency

Background: Meningiomas are the most common primary intracranial tumors in adults, and volumetric as...

MonoPRIO: Adaptive Prior Conditioning for Unified Monocular 3D Object Detection

Monocular 3D object detection remains challenging because metric size and depth are underdetermined ...

Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance

Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside camer...

ClaroAI-Bench: Evaluating Agentic Scientific Reproducibility on Real Biomedical Papers

We introduce ClaroAI-Bench, an evaluation suite for measuring AI agents' ability to reproduce comput...

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...

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