Spectral AI Expands Clinical Trial Sites for Pivotal U.S. Burn Study
03 Juillet 2024 - 2:00PM
Spectral AI, Inc. (Nasdaq: MDAI) (“Spectral AI” or the
“Company”), an artificial intelligence (AI) company
focused on medical diagnostics for faster and more accurate
treatment decisions in wound care, today announced that it has
added two new U.S. Clinical Trial Sites for its 2024 Burn Pivotal
Study: the University of California San Diego and the University of
Utah.
These new locations expand the total number of
U.S. Clinical Trial Sites to 14.
“These two new sites allow us to capture
additional burn patients who enter through the Emergency Department
and thus complement our existing trial site presence at burn
centers across the country, establish our presence in new
geographies, and advance us towards our objective of completing
this study by the end of the year,” said Peter M. Carlson, Chief
Executive Officer of Spectral AI. “Moreover, a broader base of
clinical trial sites provides access to a more diverse patient
population, reduces bias, and provides the opportunity to elevate
the profile of our DeepView™ System across a wider range of
clinicians and healthcare settings.”
The 2024 U.S. Burn Pivotal Study is designed to
validate the AI-driven algorithm used by Spectral AI’s DeepView™
System for burn indication. The study is scheduled to be completed
in the fourth quarter of 2024 and it is expected to be the final
clinical trial before the Company seeks FDA approval of its
DeepView™ System for burn indication in 2025.
About Spectral AI
Spectral AI, Inc. is a Dallas-based predictive
AI company focused on medical diagnostics for faster and more
accurate treatment decisions in wound care, with initial
applications involving patients with burns and diabetic foot
ulcers. The Company is working to revolutionize the management of
wound care by “Seeing the Unknown®” with its
DeepView™ System. The DeepView™ System is a
predictive device that offers clinicians an objective and immediate
assessment of a wound’s healing potential prior to treatment or
other medical intervention. With algorithm-driven results and a
goal to change the current standard of care, the
DeepView™ System is expected to provide faster and more
accurate treatment insight towards value care by improving patient
outcomes and reducing healthcare costs. For more information about
the DeepView™ System, visit www.spectral-ai.com.
Forward Looking
Statements
Certain statements made in this release are
“forward looking statements” within the meaning of the “safe
harbor” provisions of the United States Private Securities
Litigation Reform Act of 1995, including statements regarding the
Company’s strategy, plans, objectives, initiatives and financial
outlook. When used in this press release, the words “estimates,”
“projected,” “expects,” “anticipates,” “forecasts,” “plans,”
“intends,” “believes,” “seeks,” “may,” “will,” “should,” “future,”
“propose” and variations of these words or similar expressions (or
the negative versions of such words or expressions) are intended to
identify forward-looking statements.
These forward-looking statements are not
guarantees of future performance, conditions or results, and
involve a number of known and unknown risks, uncertainties,
assumptions and other important factors, many of which are outside
Company’s control, that could cause actual results or outcomes to
differ materially from those discussed in the forward-looking
statements. As such, readers are cautioned not to place undue
reliance on any forward-looking statements.
Investors should carefully consider the
foregoing factors and the other risks and uncertainties described
in the “Risk Factors” sections of the Company’s filings with the
SEC, including the Registration Statement and the other documents
filed by the Company. These filings identify and address other
important risks and uncertainties that could cause actual events
and results to differ materially from those contained in the
forward-looking statements.
Investors: The Equity
Group Devin Sullivan Managing
Director dsullivan@equityny.com
Conor Rodriguez Analyst crodriguez@equityny.com
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