Cardiovascular diseases (CVDs) are a major challenge in global health. Despite significant advances in treatment and management, the incidence and mortality rates of CVDs have been rising in recent years, particularly in the United States. With continuous advancements in medical technology, perioperative transesophageal echocardiography (TEE) has become a key technology in cardiac surgery, enhancing surgical success rates and patient safety. The application of TEE spans preoperative planning, intraoperative monitoring, and postoperative evaluation, especially in complex procedures such as mitral valve repair and aortic valve replacement, where it plays an indispensable role. Simultaneously, the introduction of artificial intelligence (AI) brings new prospects for TEE image analysis and diagnostic support, significantly improving diagnostic accuracy and real-time decision-making capabilities. However, the application of TEE technology faces challenges such as high costs, uneven technological diffusion, and the high skill requirements for medical personnel. Therefore, establishing standardized training protocols and strengthening multidisciplinary collaboration are crucial. This paper reviews the application of TEE in cardiac surgery and its path toward educational and practical standardization from a global perspective, emphasizing its importance in improving the postoperative quality of life for patients and exploring future directions in technological innovation and educational optimization.
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http://dx.doi.org/10.17305/bb.2024.10847 | DOI Listing |
J Cardiovasc Electrophysiol
December 2024
Division of Cardiovascular Medicine, Cardiac Electrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Introduction: Intracardiac echocardiography (ICE) is an essential imaging modality for electrophysiology procedures, allowing intraprocedural monitoring, real-time catheter manipulation guidance, and visualization of complex anatomic structures. Four-dimentional (4D) ICE is the next stage in the evolution of the technology, permitting 360° rotation of the imaging plane, simultaneous multiplanar imaging, and volumetric acquisition, similar to transesophageal echocardiography (TEE). In this study, we report our experience with a novel 4D ICE catheter (NuVision, Biosense Webster) in structural electrophysiology procedures and difficult ventricular ablations in a swine preclinical model.
View Article and Find Full Text PDFIntroduction: Canadian youth mental health (YMH) systems have the potential to urgently tackle the mental health treatment gap currently impacting young people, and stepped care (SC) is one model that can address this need. The adoption of SC models can guide the development of better-connected YMH systems by simplifying transitions and care pathways. To do so requires robust standards that are co-created across stakeholder groups, including with lived experience experts, to ensure the effective implementation of SC models.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Computer and Systems Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
This systematic review evaluates the integration of advanced radar technologies into unmanned ground vehicles (UGVs), focusing on their role in enhancing autonomy in defense, transportation, and exploration. A comprehensive search across IEEE Xplore, Google Scholar, arXiv, and Scopus identified relevant studies from 2007 to 2024. The studies were screened, and 54 were selected for full analysis based on inclusion criteria.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
The automatic left ventricle segmentation in transesophageal echocardiography (TEE) is of significant importance. In this paper, we constructed a large-scale TEE apical four-chamber view (A4CV) image dataset and proposed an automatic left ventricular segmentation method for the TEE A4CV based on the UNeXt deep neural network. UNeXt, a variant of U-Net integrating a multilayer perceptron, was employed for left ventricle segmentation in the TEE A4CV because it could yield promising segmentation performance while reducing both the number of network parameters and computational complexity.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
December 2024
Divisions of Cardiology, Children's National Hospital, The George Washington University School of Medicine and Health Science, Washington, DC, USA.
Post-operative transesophageal echocardiography (TEE) is standard of care to evaluate for residual disease and quality of surgical repair. The residual lesion score (RLS) as defined by the pediatric heart network explored the impact of residual lesions on outcomes using discharge transthoracic echocardiogram (TTE). In tetralogy of fallot with pulmonary stenosis (TOF/PS), the residual right ventricular outflow tract (RVOT) gradient is one marker of quality of repair.
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