STDs

Self-supervised learning-aided ultrasonic testing for overcoming long-tail problems in stress-strain curve prediction.

Addressing the long-tail problem (LTP) is critical when applying deep learning (DL) to ultrasonic testing, as defective samples often lead to poor testing performance. This study addresses the LTP in stress-strain curve prediction using ultrasound by applying a Value Imputation and Mask Estimation (VIME)-based self-supervised learning (SSL) framework. Using 816 aluminum alloy samples, including lo...

The Development and External Testing of Deep Learning Model for Automated Classification of Intervertebral Disc Degeneration on CT Images.

The study aims to develop and externally test a deep learning (DL) model using CT images for automatic classification of intervertebral disc degeneration. This retrospective study enrolled patients aged ≥ 18 years who were diagnosed with intervertebral disc herniation or bulge, covering the cervical, thoracic, and lumbar spine, between January 2018 and July 2024 from two institutions. The disc les...

Survey of Computerized Adaptive Testing: a Machine Learning Perspective.

Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test quest...

Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.

To evaluate a new deep learning (DL) motion correction (MC) software based on partial angle reconstruction (PAR) to reduce motion artifacts in patient...

Prediction of Penicillin Concentration Using Time Series Forecasting and Machine Learning Techniques.

BACKGROUND: Time-series forecasting is crucial in pharmaceutical fermentation, where early detection of deviations safeguards product quality. As the ...

Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing.

BACKGROUND: Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exercise testing, is a prognostic indicator. We aim to...

3D region-growing nnU-Net improves pulmonary embolism detection on CTPA: a dual-cohort validation study.

OBJECTIVES: We compared three customized nnU-Net models (A: baseline two-dimensional (2D); B: 2D + region-growing; C: three-dimensional (3D) + region-...

Common factors and unique pathways for linkages between HIV/STI prevention and syndemic behaviours in high-risk youth: protocol for a secondary analysis of harmonised data from six clinical trials.

INTRODUCTION: HIV/sexually transmitted infection (STI) prevention interventions are only modestly successful among youth, particularly for young peopl...

Redefining Cytotechnologist Practice in Sweden: National Survey on Workload, Expanded Roles, and Future Competency Needs.

INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...

A CT radiomics signature enables risk stratification and survival prediction in colorectal liver metastases.

Colorectal liver metastases (CRLM) represent a major clinical challenge because outcomes after hepatic resection vary widely between patients. Preoper...

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortality in people living with HIV (PLWH), the prevalenc...

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages.

Precise and timely prediction of wheat yield is pivotal for ensuring global food security and optimizing agricultural management practices, particular...

Improving the Understandability of Clinical Guidelines: Development and Evaluation of a GPT-4-Based Pipeline.

BACKGROUND: Difficulty in finding and understanding information in clinical guidelines contributes to medication errors. Large language models (LLMs) ...

Predicting porosity in composite high-pressure hydrogen vessels using augmented fuzzy cognitive AI and manufacturing process parameters.

High-pressure hydrogen storage vessels type IV (HPV), made from carbon fiber-reinforced composites, are essential for hydrogen-powered applications du...

Examining Artificial Intelligence Chatbots' Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis.

BACKGROUND: The growing use of artificial intelligence (AI) chatbots for seeking health-related information is concerning, as they were not originally...

Mapping the global research landscape on HPV vaccine hesitancy: a machine-learning based bibliometric analysis.

Design and predictive modeling of a veterinary drug detection sensor in paddy field water based on artificial neural networks.

For rapid real-time detection of veterinary drug residues in paddy field water, we developed a novel sensor system using interdigitated electrodes as ...

A theory for self-sustained balanced states in absence of strong external currents.

Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dynamics, which is fundamental for cortical computati...

Infectious disease diagnosis by artificial intelligence (AI): Differences in patient backgrounds and symptoms between antigen test positives and novel AI-powered pharyngeal endoscopy test positives.

This study aimed to identify differences in patient background and symptoms between individuals who tested positive using conventional rapid antigen (...

Optimizing machine learning-based identification of sexual health influencers for HIV self-testing distribution among men who have sex with men in China: a secondary analysis of a quasi-experimental trial.

BACKGROUND: Secondary distribution of HIV self-testing can expand testing among men who have sex with men. A parent quasi-experimental trial found tha...