Latest AI and machine learning research in surveys for healthcare professionals.
Non-suicidal self-injury (NSSI) is becoming increasingly prevalent and harmful among adolescents, yet its intrinsic mechanism and early identification remain to be further explored. To investigate the influencing factors of NSSI in junior high school students and develop an early identification tool, a questionnaire survey was conducted on 1160 junior high school students in Shandong Province (49....
Medical concept normalization (MCN) involves mapping informal medical terms or phrases to standardized medical concepts, serving a crucial role in medical text analysis, healthcare intelligence, and other applications. Previous studies have primarily focused on developing datasets, refining machine learning algorithms, and applying them to downstream tasks, but a comprehensive survey covering all ...
BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, and pain neuroscience education demonstrate overall ...
INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...
PURPOSE: Postural orthostatic tachycardia syndrome (POTS) is a common autonomic disorder characterized by orthostatic intolerance and excessive tachyc...
BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is ofte...
BACKGROUND: Self-harm, self-poisoning or self-injury, irrespective of the motivation, is a central risk factor for suicide. Still, there is limited kn...
Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-risk ...
Graph-structured data exhibits universality and widespread applicability across diverse domains, such as social network analysis, biochemistry, financ...
Achieving human-level intelligence requires refining the transition from the fast, intuitive System 1 to the slower, more deliberate System 2 reasonin...
Purpose To systematically examine how large language model (LLM)-generated label noise impacts real-world evaluation of artificial intelligence (AI) b...
IMPORTANCE: Digital skills are increasingly essential in performing daily activities. Occupational therapy practitioners require valid and accessible ...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in intensive care units (ICUs) to enhance monitoring, prediction and decision-making....
Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of ch...
PURPOSE: To evaluate adoption patterns and attitudes toward generative AI-particularly large language models (LLMs) such as ChatGPT-among medical phys...
BACKGROUND: Artificial intelligence (AI) is increasingly utilized in orthodontics to automate cephalometric analysis. Despite promising results for AI...
The discovery of high-performing nonfullerene acceptors (NFAs) for organic solar cells (OSCs) is challenged by the vastness of chemical space and the ...
Convolutional neural networks have become the foundation of image-inference tasks, with systolic array architectures providing enhanced computational ...
In the rapidly advancing domain of artificial intelligence, Vision-Language Models (VLMs) have emerged as critical tools by synergizing visual and tex...