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ICDs Have Come a Long Way in 40 Years
Michel Mirowski and his colleagues gave the field of implantable cardioverter-defibrillators (ICDs) a pretty good start, but what's more impressive is how far the technology has advanced since that first human ICD implant in February 1980. In the past 40 years we've seen ICDs become dramatically smaller, longer lasting, more capable, more personalized, subcutaneous (non-transvenous), and even MRI-firendly. And that's not to mention the advanced data connectivity and monitoring capabilities that the latest technologies offer. So without further ado, let's take a look at the current ICD landscape and the companie...
Source: MDDI - February 4, 2020 Category: Medical Devices Authors: Amanda Pedersen Tags: Implants Source Type: news

A Blood Filter Fights Deadly Inflammatory Response
A new blood filtration technology may prove to be life-saving for patients whose normally healthy inflammatory response to injury or illness has gone into overdrive, resulting in fatally high levels of cytokines in their blood. In an interview with MD+DI, Dr. Phillip Chan, MD, PhD, CEO of CytoSorbents Corp., explained that inflammation, and the production of substances called cytokines that drive inflammation, are the body’s natural response to heal injury or infection. But sometimes, the inflammatory response is so severe in such conditions as sepsis and infection, burn injuries, trauma, pancreatitis, li...
Source: MDDI - October 9, 2019 Category: Medical Devices Authors: Susan Shepard Tags: Cardiovascular Source Type: news

Medtronic and Viz.ai Look to Improve Stroke Outcomes with New Alliance
A collaboration between Viz.ai and Medtronic could lead to better outcomes for stroke patients. Through the distribution agreement, San Francisco, CA-based Viz.ai would increase the reach of its artificial intelligence solution for stroke. Viz.ai’s solution identifies suspected large vessel occlusion (LVO) strokes and automatically notify specialists. It could lead patients to get treatment by technologies like Dublin-based Medtronic’s Solitaire revascularization device. “By combining AI software with therapy that works, that’s how we can truly improve...
Source: MDDI - July 23, 2019 Category: Medical Devices Authors: Omar Ford Tags: Business Software Source Type: news

Weighing in on the AI Renaissance in Medtech
Roughly eight years ago, IBM’s Watson super computer bested several master Jeopardy contestants. The event is quite arguably a focal point in the Artificial Intelligence Renaissance that’s having such a profound impact on healthcare today. The event also prompted Anthony Chang, M.D. to return to school and get a better understanding of artificial intelligence. The Watson event was an incredible moment for Chang and was the catalyst for a personal transformation. “I had always been interested in AI,” said Chang, who is now Chief Intelligence & Innov...
Source: MDDI - February 6, 2019 Category: Medical Devices Authors: Omar Ford Tags: Digital Health Source Type: news

SQI Test Detects Heart Attack Before It Happens
There isn't a  shortage in the number of companies developing tests for cancer detection. However, it’s a far different story when it comes to diagnostics for cardiovascular diseases. Two companies are bringing a huge spotlight to the space and have created a test that can predict a cardiac event. SQI Diagnostics and Predictive Health Diagnostics (PHD) announced the validation, commercial transition, and development of the PULS Cardiac Test. "This is a serum blood test for all those people who look healthy and have normal lipids, yet still go on to have a heart attack," Douglas Harrington, CEO of PHD, told MD+DI.  "...
Source: MDDI - February 28, 2018 Category: Medical Devices Authors: Omar Ford Tags: Cardiovascular IVD Source Type: news

Developing a New Score: How Machine Learning Improves Risk Prediction
Composite risk scores have been used for decades to identify disease risk and health status in the general population. However, current approaches often fail to identify people who would benefit from intervention or recommend unnecessary intervention. Machine learning promises to improve accuracy, ensuring targeted treatment for patients that need it and reducing unnecessary intervention. Framingham Risk Score, the gold standard for predicting the likelihood of heart disease, predicts hospitalizations with about 56% accuracy. It uses factors such as age, gender, smoking, cholesterol levels, and systolic blood pressure to...
Source: MDDI - November 17, 2017 Category: Medical Devices Authors: Heather R. Johnson Tags: R & D Source Type: news