Hospital-Based Medicine

Surveillance

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

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faers: A High-Fidelity Framework and R/Bioconductor Package for Precision Adverse Event Surveillance

Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...

Federated Learning Performance Depends on Site Variation in Global HIV Data Consortia

Digital health technologies, including machine learning (ML), are transforming infectious disease ma...

Classification of Recurrence Status After Surgical Treatment of Chronic Subdural Hemorrhage - A Machine Learning Approach

Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...

Resolving gradient pathology in physics-informed epidemiological models

Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridg...

Climate-Informed Deep Learning for Spatio-Temporal Forecasting of Climate-Sensitive Diseases

Effective public health planning and intervention strategies necessitate an understanding of the tem...

ForeSea: AI Forensic Search with Multi-modal Queries for Video Surveillance

Despite decades of work, surveillance still struggles to find specific targets across long, multi-ca...

Predictive and Seasonal Dynamics of the Human Wastewater Virome

Wastewater-based epidemiology provides a scalable, noninvasive framework for population-level infect...

TrialScout links published results to trial registrations using a large language model

Background: Multiple stakeholders need to locate results of registered clinical trials but frequentl...

Reinforcement Learning for Antibiotic Stewardship: Optimizing Prescribing Policies Under Antimicrobial Resistance Dynamics

Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...

Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference

Geoenergy projects (CO2 storage, geothermal, subsurface H2 generation/storage, critical minerals fro...

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

Structured radiology reporting promises faster, more consistent communication than free text, but au...

A Standardized Framework For Evaluating Gene Expression Generative Models

The rapid development of generative models for single-cell gene expression data has created an urgen...

Bridging the Skill Gap in Clinical CBCT Interpretation with CBCTRepD

Generative AI has advanced rapidly in medical report generation; however, its application to oral an...

Machine Unlearning for GDPR Right-to-Erasure in Antimicrobial Resistance Prediction Models

Objective. Healthcare machine learning models trained on patient data must comply with the General D...

Predictors of COVID-19 hospital outcomes: a machine learning analysis of the National COVID Cohort Collaborative

Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...

A Machine Learning Framework for Serogroup Classification of pathogenic species of Leptospira Based on rfb Locus Profiles

Leptospira is a highly diverse genus traditionally classified by serological assays into more than 3...

Bias in respiratory diagnoses by Large Language Models (LLMs) in Low Middle Income Countries (LMICs)

Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...

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