A new study shows that network clustering is a rapid and clinically intuitive means of predicting cardiac risk in cancer survivor, with NT-proBNP and troponin T identified as leading biomarkers of risk.Read More
We’ve adopted a new multidisciplinary approach for providing preemptive hemodynamic support to enable VT ablation in patients otherwise too vulnerable to procedural risks.
For the first time, a large-scale machine learning-based approach has demonstrated accurate and generalizable assessment of patients’ risk for cancer therapy-related cardiac dysfunction.
An image-rich case series illustrates how 3D-printed anatomic models can help reduce surgical risk and ease patient anxieties around repair of this rare and complex entity.
The technology is available to empower patients to monitor their blood pressure at home. The main limiting factor is how well monitoring devices are integrated into your practice and workflow.
Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services Policy
We’re successfully offering a new minimally invasive, single-incision procedure to patients who need surgery to address both mitral valve disease and hypertrophic obstructive cardiomyopathy.
A practical new review article surveys the benefits and limitations of 3D-printed heart replicas in clinical practice, and offers advice for those considering adopting the technology.
Operator safety has been a driving force behind the development of robotic technology for cath lab procedures, but likely patient benefits appear to be emerging as well. We share our early insights.
This short video post profiles how we assess lungs for transplantation with the XVIVO Perfusion System and how the system has impacted our transplant volume to date.
An off-site central monitoring unit allows 24/7 cardiac telemetry monitoring of over 1,000 non-critically ill hospital patients at a time. The unit’s director explains how it’s reducing alarm fatigue and allowing faster intervention for decompensating patients.
Cardiothoracic surgery has benefited from leading-edge data science methods more than almost any other specialty. We look back and forward with one of the giants of the field, Dr. Eugene Blackstone.