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Surveys

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

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Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms.

Prenatal healthcare development requires accurate automated techniques for fetal ultrasound image se...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-3...

Towards sustainable solutions: Effective waste classification framework via enhanced deep convolutional neural networks.

As industrialization and the development of smart cities progress, effective waste collection, class...

Investigating the effect of transformer encoder architecture to improve the reliability of classroom observation ratings on high-inference discourse.

This study investigates the effect of transformer encoder architecture on the classification accurac...

Predicting genetic merit in Harnali sheep using machine learning techniques.

Machine learning techniques offer promising avenues for enhancing animal breeding programs by levera...

Educating Medical Students on Deaf-Hearing Interpreter Teams: A Virtual Patient Panel Experience.

Communication and cultural differences render d/Deaf patients vulnerable to poorer health outcomes w...

Current trends in glioma tumor segmentation: A survey of deep learning modules.

BACKGROUND: Multiparametric Magnetic Resonance Imaging (mpMRI) is the gold standard for diagnosing b...

Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm.

In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing ...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop.

Trustworthiness has become a key concept for the ethical development and application of artificial i...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...

It's raining bots: how easier access to internet surveys has created the perfect storm.

Online surveys are an increasingly common way to collect data from the public, with social media and...

Incorporating the STOP-BANG questionnaire improves prediction of cardiovascular events during hospitalization after myocardial infarction.

Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Glo...

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete...

Unsophisticated AI coaching does not improve performance on symptom and performance validity tests in a Romanian sample of experimental feigners.

The present study aimed to investigate the ability of symptom and performance validity indicators to...

Estimating wage disparities using foundation models.

The rise of foundation models marks a paradigm shift in machine learning: instead of training specia...

Bioethical Considerations of Deploying Artificial Intelligence in Clinical Orthopedic Settings: A Narrative Review.

Artificial intelligence (AI) has emerged in orthopedics with the potential to improve diagnostic acc...

Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

This study evaluated large language models (LLMs) using 30 questions, each derived from a recommenda...

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