Latest AI and machine learning research in surveys for healthcare professionals.
The transition to Industry 4.0 and 5.0 underscores the need for integrating humans into manufacturing processes, shifting the focus towards customization and personalization rather than traditional mass production. However, human performance during task execution may vary. To ensure high human-robot teaming (HRT) performance, it is crucial to predict performance without negatively affecting task e...
While the ability to solve complex problems creatively is among the most important skills for contemporary jobs, understanding individual differences how people prefer to engage in individual or collaborative problem-solving becomes increasingly important. VIEW an assessment of problem-solving style has been specifically designed to measure these preferences at the intersection of creativity and p...
OBJECTIVES: Artificial intelligence (AI) systems have the potential to revolutionize clinical practices, including improving diagnostic accuracy and s...
Deep learning models (DLMs) have gained importance in predicting, detecting, translating, and classifying a diversity of inputs. In bioinformatics, DL...
PURPOSE: Manual reconstruction (MR) of the vastus lateralis (VL) muscle cross-sectional area (CSA) from sequential ultrasound (US) images is accessibl...
The existing methodologies for allocating highway safety improvement funding closely rely on the utilization of crash prediction models. Specifically,...
Accurately measuring the evolution of Multiple Sclerosis (MS) with magnetic resonance imaging (MRI) critically informs understanding of disease progre...
Several factors are associated with the success of deep learning. One of the most important reasons is the availability of large-scale datasets with c...
There are mounting concerns regarding inherent bias, safety, and tendency toward misinformation of large language models (LLMs), which could have sign...
Individual traits and reactions to ambiguity differ and are conceptualized in terms of an individual's attitudes toward ambiguity or ambiguity toleran...
New developments in machine learning-based analysis of speech can be hypothesized to facilitate the long-term monitoring of major depressive disorder ...
Web surveys are often used to collect data for psychological research. However, the inclusion of many inattentive respondents can be a problem. Variou...
In the fall of 2021, several experts in this space delivered a Webinar hosted by the American Society of Neuroradiology (ASNR) Diversity and Inclusion...
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. Artificial intelligence models (AIs) like Gemini (...
In human-human and human-robot interaction, the counterpart influences the human's affective state. Contrary to humans, robots inherently cannot respo...
The first step toward investigating the effectiveness of a treatment via a randomized trial is to split the population into control and treatment grou...
In clinical settings, the implementation of deep neural networks is impeded by the prevalent problems of label scarcity and class imbalance in medical...
Anti-cancer response of cell lines to drugs is in urgent need for individualized precision medical decision-making in the era of precision medicine. M...
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications a...
Predicting treatment outcome in internalizing mental disorders prior to treatment initiation is pivotal for precision mental healthcare. In this regar...