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

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BERTAgent: The development of a novel tool to quantify agency in textual data.

Pertaining to goal orientation and achievement, agency is a fundamental aspect of human cognition an...

Radiomics-based machine learning in prediction of response to neoadjuvant chemotherapy in osteosarcoma: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Osteosarcoma (OS) is the most common primary bone malignancy, and neoadjuvant c...

Behavioral biases and Fintech adoption: Investigating the role of financial literacy.

This paper studies the influence of behavioral biases on Fintech adoption. Additionally, the role of...

Genome-wide association study revealed candidate genes associated with egg-laying time traits in layer chicken.

In modern intensive caged laying hen production, variations in egg-laying time (ELT) among layers of...

Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges.

IMPORTANCE: The US healthcare system faces significant challenges, including clinician burnout, oper...

Evaluating the validity and consistency of artificial intelligence chatbots in responding to patients' frequently asked questions in prosthodontics.

STATEMENT OF PROBLEM: Healthcare-related information provided by artificial intelligence (AI) chatbo...

Towards Unified Deep Image Deraining: A Survey and a New Benchmark.

Recent years have witnessed significant advances in image deraining due to the progress of effective...

Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation.

Point cloud semantic segmentation can enhance the understanding of the production environment and is...

Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition.

Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in phys...

Identifying smart technology and artificial intelligence solutions for human factors and ergonomic challenges in all-hazard response: A survey study.

Emergency responders face significant human factors and ergonomic (HF/E) challenges related to physi...

Dataset-free weight-initialization on restricted Boltzmann machine.

In feed-forward neural networks, dataset-free weight-initialization methods such as LeCun, Xavier (o...

Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.

OBJECTIVE: This study aimed to evaluate the reliability, consistency, and readability of responses p...

Self-Supervised Multimodal Learning: A Survey.

Multimodal learning, which aims to understand and analyze information from multiple modalities, has ...

Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction.

DNA-encoded chemical libraries (DECLs) have become integral to early-stage drug discovery, yielding ...

A Survey on Artificial Neural Networks in Human-Robot Interaction.

Artificial neural networks (ANNs) have shown great potential in enhancing human-robot interaction (H...

Improved Machine Learning Predictions of EC50s Using Uncertainty Estimation from Dose-Response Data.

In early-stage drug design, machine learning models often rely on compressed representations of data...

ABP-Xplorer: A Machine Learning Approach for Prediction of Antibacterial Peptides Targeting -tRNA-Methyltransferase (TrmD).

(MAB) infections pose a significant treatment challenge due to their intrinsic resistance to antibi...

Role of Artificial Intelligence in Detecting and Classifying Aortic Dissection: Where Are We? A Systematic Review and Meta-Analysis.

Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting a...

Supporting the technocracy of artificial intelligence: Data from a representative Spanish sample.

The recent development and improvement of generative AI have significantly influenced the lives of a...

UrduSER: A comprehensive dataset for speech emotion recognition in Urdu language.

Speech Emotion Recognition (SER) is a rapidly evolving field of research that aims to identify and c...

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