Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...

Apr 2025 40197097
A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines

The practice of pharmacovigilance relies on large databases of individual case safety reports to d...

Value of risk-contact data from digital contact monitoring apps in infectious disease modeling

In this paper, we present a simple method to integrate risk-contact data, obtained via digital con...

Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications

Small object detection (SOD) is a critical yet challenging task in computer vision, with applicati...

Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection

This research paper presents an innovative ship detection system tailored for applications like ma...

COVID 19 Diagnosis Analysis using Transfer Learning

Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease ...

Gun Detection Using Combined Human Pose and Weapon Appearance

The increasing frequency of firearm-related incidents has necessitated advancements in security an...

TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models

Vision Language Models (VLMs) have demonstrated impressive inference capabilities, but remain vuln...

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models

Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...

A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning

Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Ea...

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...

Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions

Image restoration under adverse weather conditions refers to the process of removing degradation c...

Detection of Customer Interested Garments in Surveillance Video using Computer Vision

One of the basic requirements of humans is clothing and this approach aims to identify the garment...

Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...

Mar 2025 40035168
Strategies in using artificial intelligence to combat antimicrobial resistance.

Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...

Mar 2025 40084447
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