CONCLUSION: By adopting a heart-rate dependent and free-breathing protocol, the contrast medium volume were reduced in coronary CTA for patients with COPD, while the image quality was remained comparable to those acquired with routine CTA protocol. →
CONCLUSION: In this study breathing exercises could reduce fatigue and dyspnea, and improve NYHA functional classification of HF patients which can be included in nursing care plans for respiratory rehabilitation in HF. →
To assess the efficacy and safety of LiWei Capsule (LWC) in the treatment of chronic non-atrophic gastritis (CNG) with erosions and damp-heat stasis syndrome, based on Traditional Chinese Medicine (TCM) principles. This phase II, multicenter, randomized, double-blind, placebo- and positive-controlled trial enrolled patients diagnosed with CNG with erosions and damp-heat stasis syndrome. Participants were allocated… →
CONCLUSIONS: Results from this investigation support the feasibility of the BfitBwell Telehealth Program and a subsequent efficacy trial. Novel program components also provide potential models for improving exercise program efficacy and efficiency through asynchronous exercise prescription and symptom monitoring. →
Artificial General Intelligence (AGI) seeks to create systems that can perform various tasks, reasoning, and learning with human-like adaptability. Unlike narrow AI, AGI aspires to generalize its capabilities across multiple domains, enabling machines to operate in dynamic and unpredictable environments. Achieving this requires combining sensory perception, abstract reasoning, and decision-making with a robust memory and… →
Large language models (LLMs) have recently been enhanced through retrieval-augmented generation (RAG), which dynamically integrates external knowledge sources to improve response quality for open-domain questions and specialized tasks. However, RAG systems face several significant challenges that limit their effectiveness. The real-time retrieval process introduces latency in response generation, while document selection and ranking errors can… →
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains a significant challenge. Traditional methods like ARIMA and exponential smoothing often struggle to generalize across domains or handle the complexities of high-dimensional data. Contemporary deep learning approaches, while promising, frequently require large labeled datasets and… →
Large language models (LLMs) like OpenAI’s GPT and Meta’s LLaMA have significantly advanced natural language understanding and text generation. However, these advancements come with substantial computational and storage requirements, making it challenging for organizations with limited resources to deploy and fine-tune such massive models. Issues like memory efficiency, inference speed, and accessibility remain significant hurdles.… →
Managing datasets effectively has become a pressing challenge as machine learning (ML) continues to grow in scale and complexity. As datasets expand, researchers and engineers often struggle with maintaining consistency, scalability, and interoperability. Without standardized workflows, errors and inefficiencies creep in, slowing progress and increasing costs. These challenges are particularly acute in large-scale ML projects,… →
CONCLUSION: The compliance of patients with intensive wearing face masks was high. The intensive wearing of face masks had a good intervention effect on the treatment of postinfectious cough, which could effectively reduce cough symptoms of patients, shorten the course of the disease, and reduce medical expenditure. →