Burn clinicians present positive findings of the DeepView® System’s accuracy at the American Burn Association annual meeting

Rhea-AI Summary

Spectral AI (NASDAQ: MDAI) showcased its DeepView® System at the American Burn Association annual meeting in Phoenix, Arizona. The event, attended by over 2,200 burn care professionals, highlighted significant achievements in burn wound assessment technology.

Key findings presented by Leslie Tan of Newcastle Burns Centre revealed the DeepView System's impressive 95% accuracy rate in predicting burn wound healing potential within 21 days. The technology received additional recognition when Zeeshan Sheikh of Wythenshawe Hospital won Best in Category for his presentation on patient experience with AI-Enhanced Multispectral Imaging.

The DeepView System, which combines multi-spectral imaging with AI algorithms, is currently operational in several NHS hospitals in the United Kingdom. Newcastle Burn Centre, treating approximately 500 burn patients annually, became the first institution globally to conduct an independent evaluation of this technology.

Positive

• DeepView System demonstrates over 95% accuracy in predicting burn wound healing potential within 21 days
• System already deployed in multiple NHS hospitals in UK, showing market penetration
• First independent product evaluation completed at Newcastle Burn Centre, a major facility treating 500 burn cases annually
• Strong clinical validation through successful presentations and recognition at major industry conference

Negative

• Product still in pre-commercial phase, awaiting full launch
• Limited geographical presence, currently only in UK hospitals

DALLAS, April 30, 2025 (GLOBE NEWSWIRE) -- Spectral AI, Inc. (NASDAQ: MDAI) (“Spectral AI” or the “Company”), a leading developer of the AI-driven DeepView^® System, which uses multi-spectral imaging and AI algorithms to predict burn healing potential today announced its successful participation at the American Burn Association annual meeting, dedicated to burn awareness and prevention. The event, held from April 7^th - 11^th in Phoenix, Arizona, brought together over 2,200 burn care professionals worldwide.

This year’s meeting showcased the latest advancements in burn care, fostered interdisciplinary collaboration, and celebrated the burn care community’s dedication. Burn and Plastics Senior Registar Leslie Tan of Newcastle Burns Centre, who has been using the DeepView System, presented his findings of a multi-center UK trial of artificial intelligence enhanced multispectral imaging for burn wound assessments. Mr. Tan stated: “From our initial studies, the DeepView^® technology is showing over 95% overall accuracy when predicting healing potential in a burn wound by 21 days. [This accuracy] is one of the highest I’ve seen amongst the machines I’ve evaluated over the last few years.”

Working with the DeepView System, Zeeshan Sheikh, of Wythenshawe Hospital in the UK, won Best in Category with his poster presentation on “Patient experience of using Artificial Intelligence-Enhanced Multispectral Imaging: A regional Burns Center Review”. The Company also debuted the DeepView System devices at the conference to a welcome reception. Spectral AI engaged with clinicians through dynamic presentations of the DeepView System, breakfast symposia with key clinical investigators and multiple other interactions with the burn community fostering excitement about the product and future commercial launch. The DeepView System device is being used in several NHS hospitals in the United Kingdom and last year, experts at the Newcastle Burn Centre, who see on average 500 people with burn wounds a year, became the first institution in the world to carry out an independent product evaluation of our technology.

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. The Company is working to revolutionize the management of wound care by “Seeing the Unknown^®” with its DeepView^® System. The DeepView^® System is being developed as a predictive device to offer clinicians an objective and immediate assessment of a burn wound’s healing potential prior to treatment or other medical intervention. With algorithm-driven results and a goal of exceeding the current standard of care in the future, the DeepView^® System is expected to provide fast and 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. 

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FAQ

What accuracy rate did DeepView System achieve in burn wound healing prediction according to the 2025 ABA meeting?

According to Leslie Tan from Newcastle Burns Centre, the DeepView System demonstrated over 95% overall accuracy in predicting burn wound healing potential within 21 days, reported as one of the highest accuracy rates among evaluated machines.

Which UK hospitals are currently using Spectral AI's (MDAI) DeepView System for burn assessment?

The DeepView System is being used in several NHS hospitals in the United Kingdom, with Newcastle Burn Centre being the first institution worldwide to conduct an independent product evaluation of the technology.

How many burn care professionals attended the 2025 American Burn Association meeting where MDAI presented?

Over 2,200 burn care professionals from around the world attended the American Burn Association annual meeting held from April 7th - 11th, 2025, in Phoenix, Arizona.

What recognition did DeepView System receive at the 2025 ABA conference?

At the 2025 ABA conference, Zeeshan Sheikh from Wythenshawe Hospital won Best in Category for his poster presentation on patient experience using DeepView's AI-Enhanced Multispectral Imaging technology.

How many burn patients does Newcastle Burn Centre treat annually using MDAI's DeepView System?

Newcastle Burn Centre, which was the first to evaluate DeepView System, treats an average of 500 people with burn wounds annually.