Philips’ HeartModelA.I. provides reproducible ultrasound results, fast exam times and seamless workflow, yielding diagnostic confidence in cardiac care

Andover, MA – Royal Philips (NYSE: PHG, AEX: PHIA) today announced the introduction of HeartModelA.I., a new Anatomically Intelligent Ultrasound (AIUS) tool that brings advanced quantification, automated 3D views and robust reproducibility to cardiac ultrasound imaging. Philips’ fastest 3D AIUS ultrasound measurement method was unveiled today on its EPIQ 7 ultrasound system, Philips’ first ultrasound with Anatomic Intelligence capabilities, during the American Society of Echocardiography (ASE) annual meeting in Boston, Mass.



Using HeartModelA.I., clinicians can quickly, easily and confidently assess disease states, determine treatment, and guide related therapies. In a recent comparison, exams with HeartModelA.I. were shown to be three to six times faster than conventional 2D exams in gathering left ventricular and atrial dimensions and volumes (LV and LA), while offering the many benefits of 3D imaging.1 With a rich digital database of anatomical structural models and adaptive system technology, HeartModelA.I. has access to advanced clinical information that automatically adapts to variability in patient anatomy. This knowledge-base identification and patient-specific adaptation provides proven quantification of the left ventricle and atrium, and display of routine apical views.

“Health systems are constantly looking for solutions to provide the most efficient and effective way to an accurate diagnosis,” said Ivan Salgo, MD, senior medical director, Cardiovascular Ultrasound, Philips. “At Philips, we’re driving innovation in the cardiology space to help clinicians make decisions early, fast and confidently. By combining AIUS with the power of HeartModelA.I., we’re using automatic quantification and intelligence and our renowned image quality to bring more diagnostic confidence to cardiac procedures and to create more reproducible results.”

HeartModelA.I. is part of a suite of new tools and technologies available on Philips’ EPIQ 7 ultrasound system. The EPIQ 7 system is designed to enhance automation and reproducibility to help address some of the most critical strains on overburdened hospitals and healthcare systems challenged to provide higher quality care at a lower cost. EPIQ 7 is known for its high-image quality, advanced automation and reproducibility and best-in-class ergonomic design.

“Traditionally, collecting and analyzing heart measurements have been time-consuming, difficult processes with resulting variability that can impact diagnostic confidence,” said Dr. Roberto Lang, professor of medicine and director of noninvasive cardiac imaging laboratories, University of Chicago Medicine. “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.”



Philips has a rich history of innovations that redefine how care is delivered. First to roll out Anatomical Intelligence on any ultrasound, with the launch of EPIQ in 2013, Philips is continuing to leverage its expertise in this area to pioneer organ models. HeartModelA.I. will be made available on the EPIQ 7 ultrasound system in the U.S. beginning in August and globally by the end of the year.

To learn more about AIUS and the full suite of Philips innovative ultrasound solutions, please visit: https://www.philips.com/ultrasound. Philips is showcasing its HeartModelA.I. on the EPIQ 7 system at ASE in Booth 900 through Tuesday, June 16.

For more information on the launch of Philips’ HeartModelA.I. at ASE 2015 and additional announcements at the upcoming European Society of Cardiology Congress in August, visit: www.philips.com.

Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions.