BACKGROUND: Opportunistic computed tomography (CT) screening for the evaluation of sarcopenia and myosteatosis has been gaining emphasis. A fully automated artificial intelligence (AI)-integrated system for body composition assessment on CT scans is ...
BACKGROUND: The integration of artificial intelligence (AI) into health care is set to revolutionize the sector, offering opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little is known abou...
Natural language processing (NLPs) and Large language models (LLM), such as ChatGPT, represent transformative advancements in artificial intelligence (AI). Their implementation into the medical field has a broad potential, and this review discusses t...
Object identification has been widely used in several applications, utilising the annotated data with bounding boxes to specify each object's exact location and category in images and videos. However, relatively little research has been conducted on ...
With an increasing aging population, the prevalence of chronic comorbidities is on the rise. The potential relationship between obstructive sleep apnea (OSA) and osteoporosis has garnered significant attention. Most studies examining the association ...
Bacterial polysaccharides have attracted considerable interest due to their rapid production, customizable properties, and suitability for large-scale manufacturing. Unlike plant or algal polysaccharides, they can be efficiently synthesized through f...
Journal of chemical information and modeling
Sep 4, 2025
Phytocystatins are proteinaceous inhibitors found in plants that competitively target various classes of cysteine proteinases, including papain-like enzymes, cathepsins, and legumains. Based on structural characteristics and gene organization, phytoc...
The complexity of the genetic circuit design limits accessibility and efficiency in synthetic biology. This study presents an integrated system that combines Cello software with large language models (DeepSeek-R1, Phi-4) and the LangChain framework i...
OBJECTIVE: This study aimed to explore orthopaedic patients' and families' experiences with artificial intelligence (AI)-driven chatbots for perioperative health information, focusing on usability, effectiveness and perceptions.
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