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

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Prediction of speed of sound of deep eutectic solvents using artificial neural network coupled with group contribution approach.

Predicting the physiochemical properties of deep eutectic solvents (DESs) is crucial for designing n...

Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction.

Accurate scientific predicting of water requirements for protected agriculture crops is essential fo...

Diagnostic accuracy of machine learning approaches to identify psoriatic arthritis: a meta-analysis.

While machine learning (ML) approaches are commonly utilized in medical diagnostics, the accuracy of...

Parental and carer views on the use of AI in imaging for children: a national survey.

OBJECTIVES: Although the use of artificial intelligence (AI) in healthcare is increasing, stakeholde...

Digital twins in increasing diversity in clinical trials: A systematic review.

The integration of digital twin (DT) technology and artificial intelligence (AI) into clinical trial...

Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework.

This study presents a comprehensive hybrid forecasting framework that synergizes machine learning al...

Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health car...

Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey.

Artificial Intelligence (AI) is rapidly being implemented into clinical practice to improve diagnost...

Development and evaluation of large-language models (LLMs) for oncology: A scoping review.

Large language models (LLMs), a significant development in artificial intelligence (AI), are continu...

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to gl...

Adaptive context biasing in transformer-based ASR systems.

With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) system...

Invulnerability bias in perceptions of artificial intelligence's future impact on employment.

The adoption of Artificial Intelligence (AI) is reshaping the labor market; however, individuals' pe...

Foundation models for radiology-the position of the AI for Health Imaging (AI4HI) network.

Foundation models are large models trained on big data which can be used for downstream tasks. In ra...

Boosted neural network modeling of psychological and social factors of work affecting safety performance and job satisfaction in the process industry.

Psychological and social factors of work were found to influence workers' safety performance and job...

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

This study explores how artificial intelligence technologies can enhance the regulatory capacity for...

Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept.

We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tenden...

Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods.

Accurate prediction of the initial production in horizontal wells targeting tight sandstone gas rese...

Generative artificial intelligence based models optimization towards molecule design enhancement.

Generative artificial intelligence (GenAI) models have emerged as a transformative tool for addressi...

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