Transcranial focused ultrasound (tFUS) has gained attention in the field of brain stimulation owing to its non-invasive neurotherapeutic potentials. However, complex interactions between acoustic waves and the cranium may introduce misalignment of the acoustic focus from a geometric target location, thus, necessitate on-site feedback of real-time navigational information of the transducer (spatial coordinates and angular orientation) for the operators to accurately place the acoustic focus to the desired brain area. In this study, we propose a deep-learning-based network model that can provide spatial navigational information of a single-element FUS transducer with respect to the targeted brain region.
View Article and Find Full Text PDFBackground: Optimal medical therapy and the management of cardiac risk factors are crucial for the secondary prevention of acute coronary syndrome (ACS). However, there have been reports on the underutilization of secondary-prevention medications for ACS. This study aimed to investigate adherence of in-hospital prescriptions to clinical practice guidelines for the secondary prevention of ACS using real-world data.
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