Latest AI and machine learning research in surveys for healthcare professionals.
Stereopsis has widespread appeal in computer vision and robotics as it is the predominant way by which we perceive depth to navigate our 3D world. Event cameras are novel bio-inspired sensors that detect per-pixel brightness changes asynchronously, with very high temporal resolution and high dynamic range, enabling machine perception in high-speed motion and broad illumination conditions. The high...
The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce creative outputs, such as artworks, that rival human creations. However, despite these technological achievements, public acceptance and valuation of AI-generated creative products remain uncertain. This study investigates the bias against AI-generated artworks by examining both behavioral and neural r...
Autism spectrum disorder (ASD) diagnosis often presents challenges due to its complexity and reliance on subjective clinical assessments, potentially ...
Education for medical imaging technologists or radiographers in regional and rural areas often faces significant challenges due to limited financial, ...
Implicit sentiment identification tasks occupy an important place in the field of natural language processing (NLP). In recent years, deep learning mo...
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the ac...
This study evaluates the reliability of an underactuated wearable lower-limb exoskeleton designed to assist with gait rehabilitation. Recognizing the ...
The modernization of Chinese higher education relies heavily on fostering innovative work behavior (IWB) among university teachers. However, the cruci...
BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as cancer, identifying patients who may benefit from e...
The image analysis of rock blasting fragmentation and half-hole rates serves as a pivotal basis for evaluating the quality of geotechnical blasting an...
Risk of bias is a critical factor influencing the reliability and validity of toxicological studies, impacting evidence synthesis and decision-making ...
This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses to frequently asked patient questions concerning lu...
BACKGROUND AND PURPOSE: With the workforce shortage in the United States, neuroadiologists' workloads are increasing with associated increase in burno...
Folic acid plays a crucial role in cellular regulation and metabolism, commonly included in dietary supplements. Despite this, its involvement in colo...
Explainable AI has garnered significant traction in science communication research. Prior empirical studies have firmly established that explainable A...
The aim of this study is to examine the precision, dependability, and relevance of AI-based evaluations in contrast to conventional human evaluations....
Advances in artificial intelligence have enabled the simulation of human-like behaviors, raising the possibility of using large language models (LLMs...
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment t...
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-computer interaction and affective computing, enabling...
Shortcut learning poses a significant challenge to both the interpretability and robustness of artificial intelligence, arising from dataset biases th...