ABSTRACT
Primary liver cancer (hereinafter referred to as liver cancer) is one of the most common and deadly malignancies, posing a serious threat to human health. In recent years, advance-ments in artificial intelligence (AI) have opened up possibilities for the comprehensive enhancement of liver cancer diagnosis and treatment. AI technologies in liver cancer mainly include the machine learning (ML) and the deep learning (DL) models, with DL being a subtype of ML based on neural network structures. The application of ML and DL models in liver cancer has demonstrated tremen-dous potential, but there are still many issues that need to be addressed, including enhancing the generalizability and interpretability of results. The authors elaborate on the application progress of AI in the field of liver cancer in recent years, and explore the current challenges and future explora-tion directions.
ABSTRACT
Primary liver cancer is a malignant tumor with high morbidity and mortality in the world, and it is also a common malignant tumor of digestive tract in China. With the development of medical technology and the deepening of minimally invasive concept, minimally invasive therapy has gradually become the main treatment of liver cancer. Through the visual analysis of Cite Space bibliometrics study, the authors visually show the basic knowledge structure and evolution in the field of minimally invasive treatment of liver cancer, and explore the frontier hotspots and future development trends, so as to provide reference for scientific research and application in this field.
ABSTRACT
Objective To develop clinical practice guidelines for breastfeeding in neonates in hospital conforming to the situation in China by adaptation of existing guidelines.Methods According to ADAPTE methodology and current status of breastfeeding in neonates in hospital,we searched existing guidelines and systematic reviews of breastfeeding,used AGREE Ⅱ to evaluate the guidelines,content analysis method was used to select and integrate the content of the evidence,and feasibility investigation and expert external review were performed for the established guidelines.Results A total of 10 guidelines,3 evidence summaries and 4 systematic reviews were included,and the "Evidence-Based Guideline:Breastfeeding of Neonates in the Hospital" were established,involving 8 aspects:breastfeeding promotion,screening,expression,storage,transport,reception,procedures and quality management,and a total of 83 evidences were recommended,which were practical and recommended by all experts.Conclusion High quality evidence resources provided by the established clinical practice guideline can provide reliable evidence support for clinical practice.