Surveys

Improving predictive reliability and automation of smart grids using the StarNet ensemble model.

Ensuring predictive reliability and automation in smart grids is vital for stable and efficient electricity distribution. This study introduces the StarNet Ensemble Model, a web-based intelligent framework designed to enhance grid stability through a stacking-based ensemble learning approach. The system integrates a machine learning-driven graphical user interface (GUI) that enables automated, rea...

Open-source framework for detecting bias and overfitting for large pathology images.

Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts such as background color or color intensity, leading to overfitting and/or bias. To ensure the robustness of deep learning applications, there is a need for methods to detect and remove the use of these artifacts. Existing debugging methods are often domain- and model-architecture-specific, and may...

The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

ObjectiveTo summarise the evidence for changes in physical activity outcomes during robot-assisted gait training in patients with spinal cord injury.D...

ChatGPT in undergraduate speech and language therapy education: students' perspectives and experiences.

PURPOSE: This study aimed to investigate the perceptions, experiences, and ethical awareness of undergraduate Speech and Language Therapy (SLT) studen...

Developing a Service Quality Index System for AI Health Care Chatbots: Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI) health care chatbots are gaining widespread adoption worldwide. It is imperative to understand the service qu...

Comparison of Artificial Intelligence Chatbots and Dental Students on Context of Dental Trauma.

AIM: Daily use of chatbots has become widespread in dental education just as in every other field. Dental students consult them when performing tasks ...

Prediction of athlete performance based on a gradient regression model.

Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training desig...

Improving Fairness and Mitigating Bias in Multicenter Electronic Health Records Models to Predict Glaucoma Outcomes.

PURPOSE: To evaluate the effectiveness and generalizability of bias mitigation methods in glaucoma progression prediction models across a multicenter ...

Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about fairness persist, particularly in relation to soci...

AI- vs Human-Based Assessment of Medical Interview Transcripts in a Generative AI-Simulated Patient System: Cross-Sectional Validation Study.

BACKGROUND: Generative artificial intelligence (AI) is increasingly used in medical education, including AI-based virtual patients to improve intervie...

APOE genotype and the effect of statins on lipid outcomes: A meta-analysis.

AIM: APOE genotype may affect statin therapy response. We conducted a meta-analysis to update and quantify this association across various outcomes. M...

Characterising processing conditions that artifactually bias human brain tissue transcriptomes.

Autopsy-derived brain tissue analysis is crucial for understanding neurobiology, but post-mortem handling can introduce artifacts. We studied adult hu...

Impact of measurement noise on escaping saddles in variational quantum algorithms.

Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE)....

Probabilistic vehicle speed prediction and reliability-based design optimization of mountainous freeway renovation using Transformer and active learning surrogates.

Accurate characterization of vehicle speed distributions is essential for evaluating driving safety and supporting reliability-based geometric design ...

Testing the Implementation and Acceptance of Generative Artificial Intelligence to Augment Vascular Surgery Journal Club.

INTRODUCTION: Medical applications of generative artificial intelligence (GAI) have received much attention, however, it remains unclear whether GAI c...

Gross motor performance of infants with an at-home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study.

AIM: To evaluate the concurrent validity of assessing infants' gross motor performance with an at-home wearable measurement versus the Alberta Infant ...

Psychometric Properties of the Chinese Version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS).

This study aimed to evaluate the psychometric properties of the Chinese version of the Medical Artificial Intelligence Readiness Scale for Medical Stu...

Evaluation of AI language models in answering pregnancy-related questions assessed by obstetrics specialists.

This study aimed to compare the performance of three large language models-ChatGPT-3.5, Gemini, and ChatGPT-4.0-in generating responses to ten frequen...

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice.

Modeling electrocatalytic reactions at solid-liquid interfaces requires capturing both the quantum-mechanical processes at the electrode surface and t...

Kaposi's sarcoma in individuals living with HIV: comparative assessment of AI-based clinical responses using a standardized questionnaire set.

OBJECTIVE: To comparatively evaluate the clinical responses of three digital platforms (ChatGPT 5.2, DeepSeek, Consensus) in terms of responsiveness, ...