Infectious Disease

STDs

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

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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment.

With the global population surpassing 8 billion, waste production has skyrocketed, leading to increa...

SAC-BL: A hypothesis testing framework for unsupervised visual anomaly detection and location.

Reconstruction-based methods achieve promising performance for visual anomaly detection (AD), relyin...

Deep learning-based image classification reveals heterogeneous execution of cell death fates during viral infection.

Cell fate decisions, such as proliferation, differentiation, and death, are driven by complex molecu...

Deep Learning-Derived Quantitative Scores for Chronic Rhinosinusitis Assessment: Correlation With Quality of Life Outcomes.

BackgroundComputed tomography (CT) plays a crucial role in assessing chronic rhinosinusitis, but lac...

A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.

INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the l...

Novel approach for quality control testing of medical displays using deep learning technology.

In digital image diagnosis using medical displays, it is crucial to rigorously manage display device...

Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study.

BACKGROUND: Early diagnosis of syphilis is vital for its effective control. This study aimed to deve...

rU-Net, Multi-Scale Feature Fusion and Transfer Learning: Unlocking the Potential of Cuffless Blood Pressure Monitoring With PPG and ECG.

This study introduces an innovative deep-learning model for cuffless blood pressure estimation using...

Isolation, identification and characteristics of from diseased rainbow trout ().

is an opportunistic pathogen that can infect humans, animals and aquatic species, which is widely d...

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.

PURPOSE: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS cla...

A novel non-invasive murine model for rapidly testing drug activity via inhalation administration against .

The efficacy of many compounds against is often limited when administered via conventional oral or ...

STI/HIV risk prediction model development-A novel use of public data to forecast STIs/HIV risk for men who have sex with men.

A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV ...

Machine learning-based analysis of microfluidic device immobilized C. elegans for automated developmental toxicity testing.

Developmental toxicity (DevTox) tests evaluate the adverse effects of chemical exposures on an organ...

CT-based clinical-radiomics model to predict progression and drive clinical applicability in locally advanced head and neck cancer.

BACKGROUND: Definitive chemoradiation is the primary treatment for locally advanced head and neck ca...

Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms.

BACKGROUND: A significant proportion of individuals with symptoms of sexually transmitted infection ...

Human activity recognition utilizing optimized attention induced Multihead Convolutional Neural Network with Mobile Net V1 from Mobile health data.

Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainl...

Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.

The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained ...

Robust modelling of arterial blood pressure reconstruction from photoplethysmography.

Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) w...

Strategies for creation of data reserve and stress testing of medical AI products.

With the fast development of artificial intelligence (AI) and its applications in medicine, it is of...

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