New Quantification Tool for Cardiac Ultrasound Imaging Launched at ASE 2015
By MedImaging International staff writers Posted on 24 Jun 2015 |
A tool provides automated 3-D views, advanced quantification, shortens ultrasound exam times, improves workflow, and provides robust reproducibility in cardiac imaging.
Royal Philips Healthcare (Amsterdam, the Netherlands) demonstrated the tool, named HeartModelA.I., on the EPIQ 7 ultrasound system, the first Philips ultrasound system with Anatomic Intelligence (AI) capabilities.
The HeartModelA.I. helps clinicians assess the status of a disease, and decide on a course of treatment, and therapies. The HeartModelA.I. can assess left ventricular and atrial dimensions, and volumes (left ventricle and left atrium) three to six times faster than conventional 2-D ultrasound.
The HeartModelA.I. includes a comprehensive digital database of anatomical structural models, and adaptive system technology, and can take into account variations in clinical anatomy of patients. The tool’s digital database provides routine apical views, and reliable identification, adaptation, and quantification of the left ventricle and atrium.
HeartModelA.I. is one of several new tools for the Philips EPIQ 7 ultrasound system, which was designed to help hospitals and healthcare systems improve care, while lowering costs.
Dr. Roberto Lang, professor of medicine and director of noninvasive cardiac imaging laboratories, University of Chicago Medicine (Chicago, IL, USA), said, "Traditionally, collecting and analyzing heart measurements have been time-consuming, difficult processes with resulting variability that can impact diagnostic confidence. Today's busy, constrained clinical environments need simplified methods to help provide high-quality care at low costs. Philips' HeartModelA.I. helps take the variability out of critical cardiac ultrasound measurements and enables time savings, broader applicability and accurate data to inform better delivery of care."
The HeartModelA.I. was introduced at the annual meeting of the American Society of Echocardiography (ASE; Morrisville, NC, USA) in Boston, MA, USA.
Related Links:
Philips Healthcare
University of Chicago Medicine
Royal Philips Healthcare (Amsterdam, the Netherlands) demonstrated the tool, named HeartModelA.I., on the EPIQ 7 ultrasound system, the first Philips ultrasound system with Anatomic Intelligence (AI) capabilities.
The HeartModelA.I. helps clinicians assess the status of a disease, and decide on a course of treatment, and therapies. The HeartModelA.I. can assess left ventricular and atrial dimensions, and volumes (left ventricle and left atrium) three to six times faster than conventional 2-D ultrasound.
The HeartModelA.I. includes a comprehensive digital database of anatomical structural models, and adaptive system technology, and can take into account variations in clinical anatomy of patients. The tool’s digital database provides routine apical views, and reliable identification, adaptation, and quantification of the left ventricle and atrium.
HeartModelA.I. is one of several new tools for the Philips EPIQ 7 ultrasound system, which was designed to help hospitals and healthcare systems improve care, while lowering costs.
Dr. Roberto Lang, professor of medicine and director of noninvasive cardiac imaging laboratories, University of Chicago Medicine (Chicago, IL, USA), said, "Traditionally, collecting and analyzing heart measurements have been time-consuming, difficult processes with resulting variability that can impact diagnostic confidence. Today's busy, constrained clinical environments need simplified methods to help provide high-quality care at low costs. Philips' HeartModelA.I. helps take the variability out of critical cardiac ultrasound measurements and enables time savings, broader applicability and accurate data to inform better delivery of care."
The HeartModelA.I. was introduced at the annual meeting of the American Society of Echocardiography (ASE; Morrisville, NC, USA) in Boston, MA, USA.
Related Links:
Philips Healthcare
University of Chicago Medicine
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