TECHNOLOGY AND HEALTH CARE

The intervention effect of psychological care combined with ondansetron, dexamethasone, and promethazine hydrochloride on chemotherapy in breast cancer surgical patients
Li X and Dong L
Breast cancer (BC) is one of the most common malignancies in women and imposes a significant health burden globally. According to data from the World Health Organization, the incidence of BC has been increasing steadily over the years. It has become one of the leading causes of cancer-related death among women worldwide.
Antibiotic adoption effects on nutrition and quality of life in lung cancer patients undergoing radiotherapy and chemotherapy: A meta-analysis
Zhao Z and Yua Y
Lung cancer (LC) is one of the leading causes of death worldwide. Treatment methodologies such as chemotherapy and radiotherapy have improved patient survival rates. Nevertheless, these treatments can also lead to adverse reactions and impact patients' nutritional status and quality of life (QOL). Antibiotics are commonly used for treating infections, but there is still controversy regarding their potential adverse effects on LC patients.
The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT
Liu D, Zhao Y and Liu B
Pulmonary nodule, one of the most common clinical phenomena, is an irregular circular lesion with a diameter of ⩽ 3 cm in the lungs, which can be classified as benign or malignant. Differentiating benign and malignant pulmonary nodules has an essential effect on clinical medical diagnosis.
Correlation between choroidal thickness and the degree of myopia
Yang X, Zhang J and Liang Y
Myopia is a frequent visual problem, and the relationship between choroidal thickness (CT) and the degree of myopia has been a hot topic in myopia research.
Validation of endoplasmic reticulum stress-related gene signature to predict prognosis and immune landscape of patients with non-small cell lung cancer
Cui Y, Zhou X, Zheng D and Zhu Y
Lung cancer is one of the most common cancers worldwide, with the incidence increasing each year. It is crucial to improve the prognosis of patients who have lung cancer. Non-Small Cell Lung Cancer (NSCLC) accounts for the majority of lung cancer. Though its prognostic significance in NSCLC has not been often documented, Endoplasmic Reticulum (ER) stress has been identified to be implicated in tumour malignant behaviours and resistance to treatment.
Three-dimensional printed apical barrier model technology for pre-clinical dental education
Zou H, Wang L, Zhou X, Zhang L, Wang S, Zheng Q, Ye L and Wang C
Clinically, apical barrier procedure can be adopted to create an immediate artificial barrier for tooth with an open apex. Given that the quality of the barrier is crucial, the apical barrier procedure is known for its high technical sensitivity, posing significant learning challenges for dental students. Therefore, a new dental teaching model not only effectively enhances the future clinical skills of dental students but also benefits a wider range of patients.
Analysis of the nursing effect of five-tone therapy combined with acupoint massage on chemotherapy of lung cancer
Yu H
The use of complementary therapies to relieve the side effects of chemotherapy in lung cancer patients is becoming increasingly popular. Practices from traditional Chinese medicine, such as acupoint massage and five-tone therapy, have demonstrated potential in alleviating symptoms such as nausea and vomiting experienced during chemotherapy.
Systematic quantitative evaluation of gene polymorphism and therapeutic effect of xingnaojing injection in patients with brain injury
Yu L, Wang Y, Chen Y, Wang Y, Zhang H, Zhang M and Li C
The incidence of brain injury is increasing year by year, and it has become one of the major diseases threatening human life in today's society. From the perspective of the causes of brain injury, it is mainly due to falls from high places, traffic accidents, etc. Severe brain injury patients often lose consciousness. In recent years, the emergence of integrated traditional Chinese and Western medicine has provided a new approach and new ideas for the treatment of craniocerebral trauma.
Application of detailed nursing management intervention in neurosurgical nursing
Sun X, Diao Y, Si F and Yu A
In the contemporary healthcare environment, optimizing patient care strategies is of importance, particularly in neurosurgical environments. While traditional nursing methods have the foundation of patient care, there exists a growing recognition of the potential benefits of comprehensive nurse management. Despite this acknowledgment, there remains a gap in understanding the comparative effectiveness of comprehensive nurse management versus traditional approaches in reducing postoperative psychological stress, enhancing patient satisfaction, and promoting adherence in neurosurgical patients.
State identification of Parkinson's disease based on transfer learning
Zhao D, Luo Z, Yao M, Wei L, Qin L and Wang Z
The local field potential (LFP) signals are a vital signal for studying the mechanisms of deep brain stimulation (DBS) and constructing adaptive DBS containing information related to the motor symptoms of Parkinson's disease (PD).
Impact of continuous care on quality life of patients with inflammatory bowel disease based on multi-disciplinary cooperation on WeChat platform
Zhou Y, Li C, Chen M and Gao C
Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is characterized by chronic recurrent intestinal inflammation, and its primary clinical manifestations are abdominal pain, diarrhea, hematochezia, etc., which seriously affects patients' quality of life.
Study on the correlation between the level of insulin resistance and changes in the degree of cerebral atherosclerosis in non-diabetic patients
Zhi J and Li Z
Cerebral infarction is a health problem of global concern and brings a particular burden to medical treatment.
Therapeutic effect of proprioceptive neuromuscular facilitation combined with muscle energy technique on post-stroke dysphagia
Ni B, Jin H and Wu W
According to the Global Burden of Disease Study the prevalence of stroke worldwide has significantly increased from 1990 to 2019, making it the second leading cause of death worldwide. Approximately 70%-80% of stroke patients are unable to live independently due to disability.
Elephant herding optimized features-based fast RCNN for classifying leukemia stages
Valiaveetil DR and T K
Leukemia is a cancer that develops in the bone marrow and blood that is brought on by an excessive generation of abnormal white blood cells. This disease damages deoxyribonucleic acid (DNA), which is associated with immature cells, particularly white blood cells. It is time-consuming and requires enhanced accuracy for radiologists to diagnose acute leukemia cells.
Pneumonia detection on chest X-rays from Xception-based transfer learning and logistic regression
Mujahid M, Rustam F, Chakrabarti P, Mallampati B, de la Torre Diez I, Gali P, Chunduri V and Ashraf I
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection of pneumonia from a chest x-ray is perpetrated by expert radiologists. The chest x-ray is cheaper and is most often used to diagnose pneumonia. However, chest x-ray-based diagnosis requires expert radiologists which is time-consuming and laborious. Moreover, COVID-19 and pneumonia have similar symptoms which leads to false positives. Machine learning-based solutions have been proposed for the automatic prediction of pneumonia from chest X-rays, however, such approaches lack robustness and high accuracy due to data imbalance and generalization errors. This study focuses on elevating the performance of machine learning models by dealing with data imbalanced problems using data augmentation. Contrary to traditional machine learning models that required hand-crafted features, this study uses transfer learning for automatic feature extraction using Xception and VGG-16 to train classifiers like support vector machine, logistic regression, K nearest neighbor, stochastic gradient descent, extra tree classifier, and gradient boosting machine. Experiments involve the use of hand-crafted features, as well as, transfer learning-based feature extraction for pneumonia detection. Performance comparison using Xception and VGG-16 features suggest that transfer learning-based features tend to show better performance than hand-crafted features and an accuracy of 99.23% can be obtained for pneumonia using chest X-rays.
Posterior-anterior versus anterior-posterior screws for posterior malleolar fractures: A meta-analysis
Liu C and Huang C
The incidence of posterior malleolus fractures in ankle fractures ranges from 7% to 44%. Studies have indicated a poorer prognosis for ankle joint function when a posterior malleolar fracture is present, underscoring the significance of active intervention for optimal postoperative ankle function recovery. Hence, the selection of treatment for such fractures holds particular importance.
Special Section: Enabling Technologies for Healthcare 5.0 Guest Editors: Chi Lin, Chang Wu Yu and Ning Wang
Arterial variations and hemodynamic impact in the upper limb: Insights from an observational study
Chen X, Yu Z and Wu J
The incidence of arterial variations in the upper limb is variable among ethnic groups. However, there are only a few studies on the Asian population, particularly in China.
Introduction to the special section on enabling technologies for Healthcare 5.0
Lin C, Yu CW and Wang N
Microbial community composition in subgingival plaques and heterogeneity of tumor tissue TCRβ CDR3 repertoire in patients with moderate-to-severe periodontitis and oral squamous cell carcinoma
Huang J, Yang K, Gao L, He Q and Ge S
The human oral cavity contains over 700 types of bacteria that may protect the body against colonization by exogenous pathogens and maintain relative homeostasis. However, alterations in the immune status can disrupt the balance between microorganisms and the host, inducing various diseases such as oral cancer and diabetes mellitus. The mechanism underlying this process is not clearly understood.
Addendum to: The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT