Introduction: It is challenging to diagnose and manage incidentally detected pulmonary subsolid nodules due to their indolent nature and heterogeneity. The objective of this study is to construct a decision tree-based model to predict malignancy of a subsolid nodule based on radiomics features and evolution over time.
Materials And Methods: We derived a training set (2947 subsolid nodules), a test set (280 subsolid nodules) from a cohort of outpatient CT scans, and a second test set (5171 subsolid nodules) from the National Lung Cancer Screening Trial (NLST).
Background: Anthropomorphic phantoms are used in surgical planning and intervention. Ideal accuracy and high efficiency are prerequisites for its clinical application. We aimed to develop a fully automated artificial intelligence-based three-dimensional (3D) reconstruction system (AI system) to assist thoracic surgery and to determine its accuracy, efficiency, and safety for clinical use.
View Article and Find Full Text PDFIntroduction: To evaluate the value of artificial intelligence (AI)-assisted software in the diagnosis of lung nodules using a combination of low-dose computed tomography (LDCT) and high-resolution computed tomography (HRCT).
Method: A total of 113 patients with pulmonary nodules were screened using LDCT. For nodules with the largest diameters, an HRCT local-target scanning program (combined scanning scheme) and a conventional-dose CT scanning scheme were also performed.
Osteoarthritis (OA) is a chronic health condition. MicroRNAs (miRs) are critical in chondrocyte apoptosis in OA. We aimed to investigate the mechanism of miR-130b in OA progression.
View Article and Find Full Text PDFIn machine vision, illumination is very critical to determine the complexity of the inspection algorithms. Proper lights can obtain clear and sharp images with the highest contrast and low noise between the interested object and the background, which is conducive to the target being located, measured, or inspected. Contrary to the empirically based trial-and-error convention to select the off-the-shelf LED light in machine vision, an optimization algorithm for LED light design is proposed in this paper.
View Article and Find Full Text PDFObjective: To get scientific basis for further health education through the research of the road construction workers' KBP before and after the interventions of highway AIDS prevention project.
Methods: Multi-stage random sampling method was employeed to select workers of 8 sites from 14 sites along highway to investigate their AIDS knowledge, belief and performance (KBP) before and after highway AIDS prevention project.
Results: Over 90% of the investigated workers had ever heard about AIDS, and the non-skilled workers of lower educational level improved more after intervention.
Objective: To compare administration of incidence reporting systems for healthcare risk management in the United Kingdom, the United States, Canada, Australia, and Taiwan, and to provide evidence and recommendations for healthcare risk management policy in China.
Methods: We searched the official websites of the healthcare risk management agencies of the four countries and one district for laws, regulatory documents, research reports, reviews, and evaluation forms concerned with healthcare risk management and assessment. Descriptive comparative analysis was performed on relevant documents.
Objective: Interpretation of the growing body of global literature on health care risk is compromised by a lack of common understanding and language. This series of articles aims to comprehensively compare laws and regulations, institutional management, and administration of incidence reporting systems on medical risk management in the United Kingdom, the United States, Canada, Australia, and Taiwan, so as to provide evidence and recommendations for health care risk management policy in China.
Methods: We searched the official websites of the healthcare risk management agencies of the four countries and one district for laws, regulatory documents, research reports, reviews and evaluation forms concerned with healthcare risk management and assessment.