News | Advanced Visualization | October 29, 2019

Vida Partners With TeraRecon for Distribution of AI-powered Lung Analysis

LungPrint Discovery offers fully automatic radiological metrics and unique, time-saving airway visualizations

LungPrint Discovery offers fully automatic radiological metrics and unique, time-saving airway visualizations

October 29, 2019 — VIDA Diagnostics, Inc. announced that its LungPrint analysis will be available through TeraRecon’s AI Interoperability platform, EnvoyAI, expanding the reach of VIDA’s leading AI-powered pulmonary care solutions and creating an integrated physician experience. 

LungPrint Discovery offers fully automatic radiological metrics and unique, time-saving airway visualizations. By precisely quantifying lung characteristics in a chest CT scan, LungPrint helps providers detect COPD and other interstitial lung disease earlier, often when debilitating symptoms have yet to occur. Early detection of chronic lung disease is reported to elongate life expectancies and reduce overall healthcare costs (Larsson, et. al). LungPrint also strengthens collaboration between radiologists and pulmonary clinicians, enhancing the content delivered in radiology reports and care team collaboration 

“VIDA is a valuable addition to our partner eco-system, offering physicians premium lung analysis and characterization AI with an integrated user experience that can only be achieved when interoperability is prioritized,” said Jeff Sorenson, chief executive officer and president of TeraRecon. “Our customers have come to expect clinical workflow excellence for optimal patient care, and VIDA’s LungPrint solution brings another best-in-class application to our wide portfolio of AI algorithms available directly within our customers’ interpretation workflow.” 

“VIDA and TeraRecon have a shared goal of equipping care teams with cutting-edge, clinically validated AI solutions,” said Susan A. Wood, Ph.D., CEO of VIDA. “We are excited to be partnering with TeraRecon; their AI platform elegantly integrates novel AI solutions like ours into the radiology workflow, which is a critical requirement in driving broad AI adoption in healthcare.” 

LungPrint is an AI-powered imaging suite advancing pulmonary care by uniquely profiling the patient with or at risk of lung diseases, including interstitial lung diseases and COPD, which continue to be under-diagnosed. The solution grants providers access to important insights to better understand their patients’ set of conditions and to select the best care path to match those unique conditions. 

By supporting earlier recognition, LungPrint aims to improve health outcomes, quality of care and the patient experience, while reducing overall healthcare costs. Learn more about LungPrint and how it enables radiology to help physicians catch COPD early, improving quality of care, patient outcomes and the cost of healthcare delivery. 

For more information: www.vidalung.ai

Related Content

AI-powered premium large bore CT scanner offers industry’s largest bore and widest field-of-view
News | Computed Tomography (CT) | October 24, 2020
October 24, 2020 — An estimated 1.8 million new cancer cases will be diagnosed in the U.S.
An example of a HeartFlow FFR-CT image showing the blood flow through what looked like a significant blockage on CT angiography alone, actually was not flow-limiting based on computational fluid dynamics. Use of the technology was supposed to reduce the number of diagnostic catheterizations in the FORECAST trial, but the costs of FFR-CT were not offset enough to show cost savings.

An example of a HeartFlow FFR-CT image showing the blood flow through what looked like a significant blockage on CT angiography alone, actually was not flow-limiting based on computational fluid dynamics. Use of the technology was supposed to reduce the number of diagnostic catheterizations in the FORECAST trial, but the costs of FFR-CT were not offset enough to show cost savings.

Feature | CT Angiography (CTA) | October 23, 2020
October 22, 2020 – In the FORECAST randomized clinical trial, the use of ...
A, Initial conventional axial CT image shows no noticeable lung damage (within red box) in right upper lobe. B, Electron density spectral CT image obtained at same time as image in A shows lesions (within red box) in right upper lobe. C, Follow-up conventional axial chest CT image obtained 5 days after images in A and B confirm presence of lesions (within red box) in right upper lobe.

A, Initial conventional axial CT image shows no noticeable lung damage (within red box) in right upper lobe. B, Electron density spectral CT image obtained at same time as image in A shows lesions (within red box) in right upper lobe. C, Follow-up conventional axial chest CT image obtained 5 days after images in A and B confirm presence of lesions (within red box) in right upper lobe. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | October 22, 2020
October 22, 2020 — According to an open-...
The FDA clearance, Quantib’s 6th to date, marks the first time a comprehensive AI prostate solution will be available to radiologists in the United States
News | Prostate Cancer | October 21, 2020
October 21, 2020 — Quantib, a market leader in...
According to an inquest, a man with a heart disorder and chest pain died two days after a doctor viewed the wrong scan and sent him home
News | Computed Tomography (CT) | October 21, 2020
October 21, 2020 — The BBC News
Flowchart of patient inclusion and exclusion.

Figure 1. Flowchart of patient inclusion and exclusion.

News | Coronavirus (COVID-19) | October 20, 2020
October 20, 2020 — A new multi-institutional study published in the journal ...
Rensselaer, First-Imaging, and GE Global researchers develop a deep neural network to perform nearly as well as more complex dual-energy CT imaging technology
News | Computed Tomography (CT) | October 20, 2020
October 20, 2020 — Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnos
Ezra, a NY-based startup transforming early cancer screening using magnetic resonance imaging (MRI), announced that it has received FDA 510(k) premarket authorization for its Artificial Intelligence, designed to decrease the cost of MRI-based cancer screening, assisting radiologists in their analysis of prostate MRI scans. It is the first prostate AI to be cleared by the FDA.
News | Artificial Intelligence | October 20, 2020
October 20, 2020 — Ezra, a NY-based startup transforming early cancer screening using...
Moffitt Cancer Center researchers are developing a noninvasive, accurate method to analyze a patient's tumor mutations and biomarkers to determine the best course of treatment.

Getty Images

News | Lung Imaging | October 19, 2020
October 19, 2020 — Personalized treatment options for patients with...