[October 24, 2017] |
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Medicrea Launches UNiD™ HUB Proprietary Surgical Planning Through Machine Learning at NASS 2017
The Medicrea Group (Euronext Growth Paris: FR0004178572 - ALMED),
pioneering the convergence of healthcare IT and next-generation,
outcome-centered device design and manufacturing with UNiD™ ASI
technology, announced today that the Company will launch their UNiD™ HUB
software at the 32nd Annual Meeting of the North American Spine Society
(NASS), held October 25-28, 2017 in Orlando, Florida, with UNiD™ LAB
biomedical engineers on-hand to demonstrate the software's proprietary
data-driven surgical planning and workflow functionalities.
Denys Sournac, President and Chief Executive Officer, stated. "We are
pleased to launch our UNiD™ HUB to the U.S. spine surgeon community at
NASS 2017. In developing an industry-first software platform that fully
integrates FDA-cleared adaptive and intelligent surgical planning
through machine learning, we are uniquely able to harness the power of
our exclusive and growing data set linked to the more than 1,800 UNiD™
ASI surgeries performed to date to drive improved outcomes and
efficiencies in spine surgery, as confirmed by our recently released clinical
results."
The user-friendly UNiD™ HUB, a web-based portal, also available as a
mobile and tablet application, will manage the complete surgeon workflow
for the Company's UNiD™ ASI (Adaptive Spine Intelligence) technology and
will become the surgeon's primary touchpoint for collaboration with
Medicrea's UNiD™ LAB biomedical engineers to develop predictive,
data-driven case plan strategies and to materialize personalized UNiD™
TEK, patient-specific implants, before surgery.
Surgeons will be able to instantly view metrics on their upcoming and
previous UNiD™ ASI cases through the software's dashboard upon login,
with notifications alerting them of plan completion, pending actions,
and tracking for personalized implant delivery. They are also able to
manage their full case database from within the UiD™ HUB directly with
specialized search, organization and favoriting functionalities as well
as perform powerful data visualizations and analytical reporting based
on their selections.
Medicrea will showcase the UNiD™ HUB software alongside its UNiD™ ASI
systems technology in Medicrea Booth #513 at the NASS Annual Meeting.
The technology will also be presented by Dr. Paul McAfee (News - Alert), of the
University of Maryland St. Joseph Medical Center, at the NASS Solution
Showcase Theater on the Exhibit Hall Floor from 12:00 to 12:30pm on
Thursday, October 26.
On the evening of Thursday, October 26, Dr. Paul McAfee will be joined
by Dr. Christopher Kleck, of University Colorado Hospital, and Thomas
Mosnier, PhD, Chief Scientific Officer at Medicrea, to host an
interactive forum on Adaptive Spine Intelligence and its Influence on
Spinal Treatment Options at the Hyatt Regency Orlando. To meet with
Medicrea at NASS 2017 or express your interest in attending the
interactive forum, please contact Gordon Fu, [email protected].
About Medicrea (www.Medicrea.com)
Through the lens of predictive medicine, Medicrea leads the design,
integrated manufacture, and distribution of 30+ FDA approved spinal
implant technologies that have been utilized in over 150,000 spinal
surgeries to date. By leveraging its proprietary software analysis tools
with big data and machine learning technologies and supported by an
expansive collection of clinical and scientific data, Medicrea is
well-placed to streamline the efficiency of spinal care, reduce
procedural complications and limit time spent in the operating room.
Operating in a $10 billion marketplace, Medicrea is a Small and Medium
sized Enterprise (SME) with 175 employees worldwide, which includes 50
who are based in the U.S. The Company has an ultra-modern manufacturing
facility in Lyon, France housing the development and production of
3D-printed titanium patient-specific implants.
For further information, please visit: Medicrea.com.
Connect with Medicrea:
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Medicrea is listed on EURONEXT Growth Paris ISIN:
FR 0004178572 Ticker: ALMED LEI:
969500BR1CPTYMTJBA37
View source version on businesswire.com: http://www.businesswire.com/news/home/20171023006543/en/
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