Spectral AI Achieves 25% Patient Enrollment at Emergency Departments for U.S. Burn Pivotal Study and Adds Two New Clinical Trial Sites
24 September 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
achieved 25% patient enrollment at Emergency Departments (“ED”) for
its U.S. Burn Pivotal Study and added two new ED Clinical Trial
Sites for this study: MedStar Washington Hospital Center in
Washington, DC led by Principal Investigator Shawn Tejiram, MD and
the University of Utah led by Principal Investigator Giavonni
Lewis, MD, FACS. The addition of these two clinical research sites
expands participating EDs to 11 facilities.
One of the largest domestic burn studies ever
conducted, the U.S. Burn Pivotal Study is designed to validate the
AI-driven algorithm used by the Company’s DeepView® System for burn
indication (“DeepView AI®-Burn”).
“We are continuing to build momentum and advance
towards achieving our ED enrollment goals,” said Peter M. Carlson,
Chief Executive Officer of Spectral AI. “Access to specialized burn
treatment in the United States has declined significantly,
resulting in an increasing number of front-line ED clinicians
assuming the initial responsibility of assessing the severity and
healing trajectory of a burn wound. We believe that the use of
DeepView AI®-Burn can deliver burn expert-level clinical support to
a busy, oftentimes chaotic, ED setting.”
As previously announced, the Company has
completed both adult and pediatric patient enrollment at U.S. burn
centers for the U.S. Burn Pivotal Study. Using data from these burn
center patients, the Company will pursue a De Novo submission to
the U.S. Food and Drug Administration (“FDA”) requesting
classification of DeepView AI®-Burn as a Class II medical device.
The Company expects to submit this request to the FDA in the second
quarter of 2025.
Spectral AI's DeepView® System for burn
indication is designed to distinguish between healing and
non-healing tissue by providing an immediate and binary prediction
of wound healing on Day One that can support clinical
decision-making regarding next step treatment plans.
About Spectral AISpectral 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
GroupDevin SullivanManaging
Directordsullivan@equityny.com
Conor RodriguezAnalystcrodriguez@equityny.com
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