No abstract

The present report describes giant atrial thrombi that were treated with thrombolysis in a community hospital. Two patients with giant atrial thrombi whose treatment involved complications are presented. Both patients developed cardiogenic shock and were treated unsuccessfully with thrombolysis. Because thrombolysis of giant thrombi may be ineffective, patients in this situation may require surgery.

No abstract

Echocardiography is not commonly used in ACS patients while in ICU/CCU. UA and AMI patients who did have echocardiograms during their stay in ICU/CCU were chiefly those presenting heart failure and major complications, and represent a subpopulation with poor prognosis. The performance of echocardiography in ACS patients increased slightly over the length of their stay in ICU/CCU.

Artificial intelligence in the healthcare field has gotten the attention of professionals and researchers because the automated analysis of medical images can enhance diagnosis and therapy considerably. Deep learning (DL) puts forwards tools to deal with this kind of problem. Data science is presumable to address significant changes in the study of cardiovascular imaging allowing change appreciably in the next years encouraged by this learning. For medical professionals, it is fundamental to keep track of the development to make sure that it can have a significant impact on clinical practice. DL in medical image analysis is an interdisciplinary area that requires the support of medical experience and computer techniques. Nevertheless, the optimal clinical application of DL needs tricky formulation of problems, selection of the most proper algorithms and data, and balanced interpretation of outcomes. A current challenge comes from echocardiography. The need for human interpretation has restricted echocardiography's capability for precision medicine.