Current cardiology reports
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Review
Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.
An understanding of the basics concepts of deep learning can be helpful in not only understanding the potential applications of this technique but also in critically reviewing literature in which neural networks are utilized for analysis and modeling. ⋯ The term "deep learning" has been applied to a subset of machine learning that utilizes a "neural network" and is often used interchangeably with "artificial intelligence." It has been increasingly utilized in healthcare for computational "learning", especially for pattern recognition for diagnostic imaging. Another promising application is the potential for these neural networks to improve the accuracy in the identification of patients who are at risk for cardiovascular events and could benefit most from preventive treatment in comparison with more conventional statistical techniques. The importance of such tailored cardiovascular risk assessment and disease management in individual patients is far reaching given that cardiovascular disease is the leading cause of morbidity and mortality in the world. Nearly half of myocardial infarctions and strokes occur in patients who are not predicted to be at risk for cardiovascular events by current guideline-based approaches. Equally important are individuals who are not at risk for cardiovascular events and yet are given expensive and unnecessary preventive treatment with potential untoward side effects. The application of powerful artificial intelligence/deep learning tools in medicine is likely to result in more effective and efficient health care delivery with the potential for significant cost savings by shifting preventative treatment from inappropriate to appropriate patient subgroups.
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The present review aims to discuss the recent advances in surgical management of spontaneous intracerebral hemorrhage (ICH), safety and efficacy of minimally invasive surgical techniques, and the existing evidence supporting their use. ⋯ Newer surgical techniques, collectively referred to as minimally invasive surgery (MIS), have been evaluated and studied in management of ICH. Stereotactic evacuation of intracerebral hemorrhage using aspiration-irrigation technique has showed significant reductions in the hematoma volume with minimal intra-operative bleeding. Catheter-based evacuation in combination with use of recombinant tissue plasminogen activator (rt-PA) produces lysis and drainage of spontaneous ICH and intraventricular hemorrhage (IVH) rapidly with minimal major adverse events. Recent advances in the management of spontaneous ICH highlights potential advantages including safety and efficacy in clot lysis and reduction in hematoma volume especially with image-guided catheter-based drainage and concurrent use of rt-PA. Controlled trials are required to conclusively establish standard surgical techniques and rt-PA dosage, before incorporating minimally invasive surgery plus rt-PA, as a standard of care in patients with spontaneous ICH.