Hospital-Based Medicine

Surveillance

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

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Showing 169-189 of 7,437 articles
Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring.

Multimodal artificial intelligence (AI) has the potential to revolutionise healthcare by enabling th...

FaciaVox: A diverse multimodal biometric dataset of facial images and voice recordings.

FaciaVox is a multimodal biometric dataset that consists of face images and voice recordings under b...

ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes.

Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the...

Enhanced Artificial Intelligence in Bladder Cancer Management: A Comparative Analysis and Optimization Study of Multiple Large Language Models.

With the rapid advancement of artificial intelligence in health care, large language models (LLMs) ...

GPT for RCTs? Using AI to determine adherence to clinical trial reporting guidelines.

OBJECTIVES: Adherence to established reporting guidelines can improve clinical trial reporting stand...

Effectiveness of Chatbot interventions for reducing caregiver burden: Protocol for a systematic review and meta-analysis.

This protocol outlines a systematic review and meta-analysis examining the effectiveness of fully au...

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...

ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning.

Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional dia...

Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis.

R language has gained traction in laboratory medicine for its statistical power and dynamic tools li...

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

The ability to assign biological samples to source populations with high accuracy and precision base...

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis.

BACKGROUND: While the COVID-19 pandemic has induced massive discussion of available medications on s...

Toward a rapid, sensitive, user-friendly, field-deployable artificial intelligence tool for enhancing African swine fever diagnosis and reporting.

OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease ...

Contribution of Structure Learning Algorithms in Social Epidemiology: Application to Real-World Data.

Epidemiologists often handle large datasets with numerous variables and are currently seeing a growi...

Reporting Quality of AI Intervention in Randomized Controlled Trials in Primary Care: Systematic Review and Meta-Epidemiological Study.

BACKGROUND: The surge in artificial intelligence (AI) interventions in primary care trials lacks a s...

A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...

Artificial intelligence for modelling infectious disease epidemics.

Infectious disease threats to individual and public health are numerous, varied and frequently unexp...

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