ABSTRACT
OBJECTIVE@#In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based on radiomics and machine learning technology was designed and constructed.@*METHODS@#Five aspects including data acquisition, data management, data analysis, modeling and data management were considered. This platform provides comprehensive functions such as data retrieve and data annotation, image feature extraction and dimension reduction, machine learning model running, results validation, visual analysis and automatic generation of analysis reports, thus an integrated solution for the whole process of radiomics analysis has been generated.@*RESULTS@#Clinical researchers can use this platform for the whole process of radiomics and machine learning analysis for medical images, and quickly produce research results.@*CONCLUSIONS@#This platform greatly shortens the time for medical image analysis research, decreasing the work difficulty of clinical researchers, as well as significantly promoting their working efficiency.
Subject(s)
Machine Learning , Diagnostic Imaging , Algorithms , RadiographyABSTRACT
On the basis of the existing appointment process, artificial intelligence and Internet of things technologies were introduced to optimize such process. Thanks to the all appointment process management empowered by AI and IoT, patient waiting time is cut short and patient satisfaction enhanced as a result.
ABSTRACT
Antibiotics being currently the most extensively used medicine in clinical practice and abuse of them being prevalent, it is thus necessary to monitor in an effective and systematic manner the rational use of them. Based on the existing database and network of hospital information system, a monitoring system for the rational use of antibiotics was successfully developed using the development tool of PowerBuild. This functionally powerful and easy-to-use system, which provides comprehensive and reliable information, improved work efficiency and managerial level by automatically monitoring many chief indicators of antibiotic usage, including dosage, resistance, combination with other drugs, course, pathway, usage during the perioperative period, usage for preventive purposes, therapeutic effect, and the ratio of hospital infection occurrence resulting from the use of antibiotics under different circumstances.