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BackgroundOptimizing the diagnosis and treatment of hematological diseases is a challenging yet crucial research area. Effective treatment plans typically require the comprehensive integration of cell morphology, immunology, cytogenetics, and molecular biology. These plans also consider patient-specific factors such as disease stage, age, and genetic mutation status. With the advancement of artificial intelligence (AI), more “AI + medical” application models are emerging. In clinical practice, many AI-assisted systems have been successfully applied to the diagnosis and treatment of hematological diseases, enhancing precision and efficiency and offering valuable solutions for clinical practice.ObjectiveThis study summarizes the research progress of various AI-assisted systems applied in the clinical diagnosis and treatment of hematological diseases, with a focus on their application in morphology, immunology, cytogenetics, and molecular biology diagnosis, as well as prognosis prediction and treatment.MethodsUsing PubMed, Web of Science, and other network search engines, we conducted a literature search on studies from the past 5 years using the main keywords “artificial intelligence” and “hematological diseases.” We classified the clinical applications of AI systems according to the diagnosis and treatment. We outline and summarize the current advancements in AI for optimizing the diagnosis and treatment of hematological diseases, as well as the difficulties and challenges in promoting the standardization of clinical diagnosis and treatment in this field.ResultsAI can significantly shorten turnaround times, reduce diagnostic costs, and accurately predict disease outcomes through applications in image-recognition technology, genomic data analysis, data mining, pattern recognition, and personalized medicine. However, several challenges remain, including the lack of AI product standards, standardized data, medical–industrial collaboration, and the complexity and non-interpretability of AI systems. In addition, regulatory gaps can lead to data privacy issues. Therefore, more research and improvements are needed to fully leverage the potential of AI to promote standardization of the clinical diagnosis and treatment of hematological diseases.ConclusionOur results serve as a reference point for the clinical diagnosis and treatment of hematological diseases and the development of AI-assisted clinical diagnosis and treatment systems. We offer suggestions for further development of AI in hematology and standardization of clinical diagnosis and treatment.

Adverse events of atrial fibrillation (AF) have been commonly reported in lymphoma patients in treating Bruton's tyrosine kinase inhibitors (BTKi). The incidence rate of AF can vary depending on the specific types of BTKi and the patient population. Totally 45 published studies have revealed that the overall incidence rate of AF is 5% (95% CI 4%–7%). By performing a subtype single-rate analysis, the second-generation BTKi shows a lower AF incidence rate and lower cardiovascular toxicity. In the subtype single-rate analysis, we conclude the different AF incidence rates of Ibrutinib (10%, 95% CI 7%–13%), Acalabrutinib (4%, 95% CI 1%–6%), Orelabrutinib (0%, 95% CI 0%–1%), and Zanubrutinib (0%, 95% CI 0%–1%). The comprehensive analysis of AF inspires us to better predict and manage AF and other cardiovascular events in treating lymphoma. Meticulous evaluation, collaboration between cardiologists and hematologists, and discovery of new biomarkers are essential for its management.

This paper summarized the postoperative nursing of a patient undergoing surgery for lumbar disc herniation. Based on the comprehensive nursing assessment and analysis of key nursing issues, targeted nursing interventions including pain control, dietary guidance, catheter maintenance, postoperative functional exercise and prevention of complications were carried out to improve the recovery of the patient. (本文总结1例腰椎间盘突出症患者的术后护理体会。在完善术后护理评估的基础上, 明确护理问题并制定护理计划, 实施针对性护理措施, 包括疼痛控制、饮食指导、管路维护、术后功能锻炼和并发症预防, 促进患者康复。)

Abstract Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental in biological and medical research, and have been making significant breakthroughs. Single-cell RNA sequencing (scRNA-seq) cannot provide spatial information, while spatial transcriptomics technologies allow gene expression information to be obtained from intact tissue sections in the original physiological context at a spatial resolution. Various biological insights can be generated into tissue architecture and further the elucidation of the interaction between cells and the microenvironment. Thus, we can gain a general understanding of histogenesis processes and disease pathogenesis, etc. Furthermore, in silico methods involving the widely distributed R and Python packages for data analysis play essential roles in deriving indispensable bioinformation and eliminating technological limitations. In this review, we summarize available technologies of spatial transcriptomics, probe into several applications, discuss the computational strategies and raise future perspectives, highlighting the developmental potential.

This paper summarized the postoperative nursing measures for a patient with cervical spondylotic myelopathy. Based on the postoperative nursing assessment, interventions such as pain control, gastrointestinal function care, airway management were carried out. Traditional Chinese Medicine nursing techniques including intradermal needling, auricular acupoint pressing, Chinese herbal medicine hot-compress, external application and fumigation were conducted under the guidance of syndrome differentiation. The nursing of integrated traditional Chinese and western medicine is effective to relieve the pain, improve the gastrointestinal function and prevent the postoperative complications. (本文总结1例脊髓型颈椎病患者术后护理经验。基于术后护理评估, 实施疼痛干预、胃肠道功能干预、呼吸系统管理等护理措施。在常规护理的基础上, 通过辨证施护, 开展皮内针、耳穴压丸、中药热奄包、药膏涂擦及熏蒸等中医适宜护理技术。中西医结合护理干预能够有效减轻患者疼痛, 改善胃肠道功能, 预防并发症。)

This paper summarized the nursing measures for a patient with intertrochanteric fracture of the right femur. According to the patient's situation, appropriate Traditional Chinese Medicine nursing technology such as auricular point sticking, intradermal acupuncture, acupoint sticking were carried out to relieve the postoperative pain and constipation and improve the recovery of the patient. (本文总结1例右股骨粗隆间骨折患者术后护理经验。术后加强病情观察, 根据患者症状开展耳穴贴压、皮内针治疗、穴位贴敷等中医护理适宜技术, 以减轻患者术后疼痛, 缓解便秘, 促进早期康复。)

This paper summarized the postoperative nursing management of a child with spastic cerebral palsy. The child received selective posterior rhizotomy followed by preoperative examination and preparation. In addition to the interventions on postoperative pain, constipation and infection, a rehabilitation exercise program was carried out to improve the comprehensive recovery of the child after surgery. (本文总结1例痉挛型脑瘫患儿的术后护理体会。患儿入院后完善相关检查和术前准备, 采用选择性脊神经后根切断术治疗, 术后做好疼痛、便秘、感染等护理干预, 根据恢复期制定康复方案, 指导患儿及家属进行康复锻炼, 促使其全面康复。)

[Purpose/Significance] Gradient theory reveals the causes and evolutionary trends of the uneven development of networks. As one of the most promising urban agglomerations in China, the middle reaches of Yangtze River urban agglomeration is the most representative national central urban agglomeration, which plays a key role in supporting the construction of central rising strategy. Therefore, it has become an important proposition of increasing concern for researchers and policy makers in the management field to study the technology innovation cooperation network in the middle reaches of Yangtze River urban agglomeration, in order to strengthen the innovation cooperation among cities and accelerate the construction of innovative cities and coordinated regional development. [Method/Process] Based on the perspective of gradient theory, this paper explores the structure and evolution of technology innovation cooperation networks in the middle reaches of Yangtze River urban agglomeration at the level of internal dynamics with the help of two important conditions that need to be met by high-gradient cities, evolving city structure stratification from core-edge structure and city role positioning from structural holes and intermediaries. [Results/Conclusions] It is found that the technology gradient in the middle reaches of Yangtze River urban agglomeration is mainly manifested by the polarization effect, and the technology gap between cities is widened. Due to the small number of high-gradient cities, they have not been able to form a driving scale benefit, and the overall regional technology innovation performance is not strong. This paper can provide useful references for the synergistic development of the middle reaches of Yangtze River urban agglomeration from the aspect of technology innovation cooperation.

The results of traditional vegetation-measuring methods are mostly two-dimensional data, which can only convey limited information. The greening situation of many cities or regions in the world cannot be fully assessed by these results. In this regard, this paper proposes the use of the air–ground integrated point cloud data acquisition mode for measuring vegetation. This mode combines a backpack-mounted laser scanning system, a vehicle-mounted laser scanning system, and UAV tilt photography technology to collect greening data in a comprehensive park and along a municipal road in Guangzhou, China. To classify the collected greening data, we propose the BiFPN-KPointNet-CBAM model, which was derived from PointNet. The model was introduced to analyze the distribution of green plants in study areas. The experimental findings indicate that our model achieved a notable enhancement in the overall accuracy by approximately 8% compared with other state-of-the-art models. Compared with the traditional greening survey method, this method obtained three-dimensional and more accurate greening data, and thus, provides higher quality greening data for urban managers. [ABSTRACT FROM AUTHOR]