Latest AI and machine learning research in surveys for healthcare professionals.
Blending poly (lactic acid) (PLA) with poly (vinyl alcohol) (PVA) improves the strength and hydrophi...
BACKGROUND: Generative AI (GenAI) frameworks, such as generative pre-trained transformer (GPTs) and ...
Artificial Intelligence (AI) and deep learning models have revolutionized diagnosis, prognostication...
In order to gain a more accurate understanding and enhance the relationship between the fitness ecol...
Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, ...
Hierarchical mixed-effects models with three trees-3Trees models-are a new advanced statistical lear...
The adaptive neural fault-tolerant control (FTC) for state-constrained systems containing novel sens...
Despite the remarkable performance of large language models (LLMs), such as generative pre-trained T...
Individuals with major depressive disorder (MDD) experience fewer positive and more negative emotion...
With the impetus of Digital Mental Health Interventions (DMHIs), complex data can be leveraged to im...
Artificial intelligence has emerged as a transformative tool in healthcare, offering capabilities s...
OBJECTIVE: To assess custom GPT-4 performance in extracting and evaluating data from medical literat...
Continuous access to up-to-date food price data is crucial for monitoring food security and respondi...
Given the scarcity of annotated data, current deep learning methods face challenges in the field of ...
OBJECTIVES: To select, present, and summarize cutting edge work in the field of Knowledge Representa...
UNLABELLED: Artificial intelligence (AI) chatbots such as ChatGPT have the potential to assist paren...
Breast cancer (BrCa), being one of the most prevalent forms of cancer in women, poses many challenge...
Agarase enzymes are critical in industries like food, cosmetics, and medicine where they play a crit...
In response to the global trend of population aging, the issue of providing elderly individuals suit...
Semi-supervised federated learning (SSFL) has emerged as a promising paradigm to reduce the need for...
Predicting animal movements and spatial distributions is crucial for our comprehension of ecological...