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DeepView® System Highlighted at the 2026 British Burn Association Annual Conference

Rhea-AI Impact
(Moderate)
Rhea-AI Sentiment
(Positive)
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Spectral AI (Nasdaq:MDAI)/b) highlighted its DeepView® System at the 2026 British Burn Association conference in Nottingham, featuring multiple podium and poster presentations. Dr. Jeffrey Carter’s paper on multispectral imaging with AI for burn wounds received BBA’s 1st Prize oral presentation award.The company noted prior FDA De Novo Classification for DeepView in May 2026 and initial UKCA authorization in February 2024. DeepView is a non-invasive, AI-driven device providing rapid, data-based assessments of burn wound healing potential, trained on over 340 billion pixels of image data.

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AI-generated analysis. Not financial advice.

Positive

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Negative

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News Market Reaction – MDAI

+0.60%
1 alert
+0.60% News Effect

On the day this news was published, MDAI gained 0.60%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

FDA De Novo Classification: May 2026 UKCA authorization: February 2024 Healing assessment horizon: 21 days +5 more
8 metrics
FDA De Novo Classification May 2026 DeepView burn wound assessment technology
UKCA authorization February 2024 Initial UK conformity for DeepView System
Healing assessment horizon 21 days Identifies burn areas unlikely to heal within this period
Image acquisition time 0.2 seconds DeepView System image capture speed
AI processing time 20–25 seconds Image processing and model classification
Training image data over 340 billion pixels Burn wound image database for DeepView training/testing
BBA conference dates June 17–19, 2026 British Burn Association Annual Conference in Nottingham
Award 1st Prize oral presentation Dr. Jeffrey Carter’s DeepView multispectral imaging paper at BBA

Peers on Argus

MDAI was down -2.92% pre-announcement while momentum peers showed mixed action: ...
1 Up 1 Down

MDAI was down -2.92% pre-announcement while momentum peers showed mixed action: CTSO up, ICCM down. With gains and losses among close medical device peers, this points to stock-specific factors rather than a broad sector rotation.

Historical Context

5 past events · Latest: Jun 12 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jun 12 Awareness partnership Positive -1.6% Partnering on Wound Healing Awareness Month and highlighting FDA-cleared DeepView System.
Jun 11 Conference participation Positive +1.6% Announcement of DeepView showcase and multiple presentations at BBA conference.
Jun 01 Annual meeting results Neutral -1.9% All AGM proposals approved and operational/funding milestones highlighted.
May 26 Regulatory clearance Positive -11.6% FDA De Novo Classification for DeepView burn indication enabling US commercial distribution.
May 12 Earnings update Negative -5.1% Q1 2026 revenue decline, net loss, but reiterated full-year revenue guidance.
Pattern Detected

News on DeepView and partnerships has often seen mixed or even negative price reactions, including a sharp selloff after FDA De Novo clearance.

Regulatory & Risk Context

Active S-3 Shelf · Short Interest: 8.77%
Shelf Active
Short Interest
8.77% of float
0% 15% 30%+
low as of 2026-05-29 Days to cover: 1.37

Reported short interest reflects relatively low short positioning, suggesting limited short-squeeze potential but also a moderate baseline for volatility driven mainly by fundamental or news-related factors.

Active S-3 Shelf Registration 2025-10-30

An effective S-3 resale registration allows existing warrant holders to register and potentially sell up to 4,989,502 shares, with proceeds from any resales going to the selling stockholders rather than the company.

Market Pulse Summary

This announcement reinforces DeepView’s visibility, with multiple BBA presentations and prior FDA De...
Analysis

This announcement reinforces DeepView’s visibility, with multiple BBA presentations and prior FDA De Novo and UKCA clearances highlighting its clinical positioning. Investors may watch for evidence of adoption, reimbursement progress, and how financing structures influence future shareholder dilution risk.

Key Terms

de novo classification, ukca, multispectral imaging, ai algorithm, +1 more
5 terms
de novo classification regulatory
"was granted De Novo Classification by the U.S. Food and Drug Administration in May 2026"
A de novo classification is a regulatory pathway that lets a novel medical device without an existing equivalent be reviewed and approved as low-to-moderate risk so it can legally enter the market. For investors, it matters because it can unlock a faster, clearer route to sales and competition protection for a new product — like getting a brand-new grocery item its own shelf space rather than forcing it to fit an existing category.
ukca regulatory
"received its initial UKCA (UK Conformity Assessed) authorization in the United Kingdom in February 2024"
A UKCA mark is a safety and regulation label used in Great Britain that shows a product meets required UK rules for health, safety and performance. For investors, the mark matters because it determines whether a product can be legally sold in the UK market, and obtaining it can affect costs, production timing and reputational risk — think of it as a passport or stamp of approval that clears goods for UK sales.
multispectral imaging medical
"the use of multispectral imaging with artificial intelligence for burn wounds received first prize"
Multispectral imaging is a way of taking pictures that capture light across several distinct bands, including wavelengths the human eye cannot see, to reveal material properties or features hidden in ordinary photos. For investors, this technology can signal improved product capabilities, more accurate testing or monitoring, and new market opportunities or cost savings for companies that use it, making it a factor in competitive advantage and capital allocation decisions.
ai algorithm technical
"combines multispectral imaging with a proprietary AI algorithm to assess the healing potential"
A machine-learning program that digests large amounts of data to spot patterns, make predictions or carry out tasks without step-by-step human instructions — think of it as a very fast, self-tuning recipe that improves as it sees more ingredients. Investors care because these systems can change a company’s speed, accuracy and cost in areas like product development, customer service and trading, affecting growth, margins and operational risk.
medical device technical
"DeepView System is a non-invasive, predictive medical device which combines multispectral imaging"
Tools, instruments, or machines used to diagnose, treat or monitor health conditions—ranging from simple items like bandages and thermometers to complex machines such as imaging scanners or implantable devices. Investors care because a device’s safety, effectiveness, and approval by health regulators affect sales, legal risk and ongoing costs; think of a medical device like a new appliance whose market success hinges on reliable performance, safety reviews and customer adoption.

AI-generated analysis. Not financial advice.

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Dr. Jeffrey Carter Awarded BBA Oral Presentation 1st Prize for his Paper on the Use of Multi-Spectral Imaging with Artificial Intelligence for Burn Wounds

DALLAS, June 25, 2026 (GLOBE NEWSWIRE) -- 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 reflected on its successful participation at the British Burn Association (BBA) Annual Conference, held on June 17th – 19th  at the Nottingham Trent University, Nottingham, England.   

The Company’s DeepView® System was on display and was the subject of multiple podium and poster presentations during the conference, highlighting its contributions to advancing burn care through advanced diagnostic analysis across the globe. The presentation from Dr. Jeffrey Carter regarding the use of multispectral imaging with artificial intelligence for burn wounds received first prize at the BBA conference. The Company’s innovative, first-of-its-kind burn wound assessment technology was granted De Novo Classification by the U.S. Food and Drug Administration in May 2026 and received its initial UKCA (UK Conformity Assessed) authorization in the United Kingdom in February 2024.

Key Presentations at the BBA Annual Conference:

  • Results from the Training & Validation Studies: Multi-Spectral Imaging with Artificial Intelligence for Burn Wounds – Dr. Jeffrey Carter, Louisiana State University Health Science Center, which was awarded 1st Prize by the BBA.
  • Artificial Intelligence-Enhanced Multispectral Imaging for Burn Wound Assessment: A Multi-Centre UK Evaluation update – Mr. Shreyas Supparamaniam, Pinderfields General Hospital, Wakefield, UK.
  • The role of DeepView imaging in burn surgery decision-making: a patient centred mixed-methods service evaluation – Dr Zoe Gotts, Newcastle Hospitals NHS Foundation Trust.
  • Artificial-intelligence enhanced multispectral imaging for burn wound assessment: pilot evaluation of complex anatomical sites – Mr. Poh Hong Tan, Royal Victoria Infirmary, Newcastle Upon Tyne, UK.
  • Usability of an Artificial Intelligence-Enhanced Multispectral Imaging Tool for Burn Assessment: A Retrospective Heuristic Evaluation – Hajar Abdulla, Royal Victoria Infirmary, Newcastle Upon Tyne, UK.

Among the key presentations, Mr. Shreyas Supparamaniam, Plastic Surgery Research Registrar at the Pinderfields General Hospital based in Wakefield, UK shared his experience with the DeepView System. His presentation highlighted the real-world impact of the DeepView System in aiding physicians in the management of thermal burn wounds.

“Our positive experience supports that DeepView has the potential to transform burn care. The device provides an immediate and objective assessment of a wound’s healing potential, enabling us to make more informed treatment decisions. We are excited about this diagnostic innovation and believe in its potential to improve patient care,” said Mr. Supparamaniam.

Dr. Jeffrey Carter added, “It is a tremendous honor to receive First Prize at the BBA Conference for my presentation highlighting clinical outcomes associated with the use of the DeepView System. The meeting also featured compelling real-world evidence from researchers in the United Kingdom that further validated the technology’s performance. The growing body of evidence supporting DeepView underscores its potential to enhance burn assessment and decision-making worldwide.”

The British Burn Association Conference is a premier event that brings together leading clinicians, researchers, and innovators in burn care. The Company’s participation and presence in multiple sessions reinforces its prominent role in driving advancements in the field and supporting healthcare professionals in delivering better outcomes for burn patients.

J. Michael DiMaio, M.D., Chairman of the Board of Spectral AI, expressed pride in the Company’s role at the conference in which he attended, “We’re grateful to see our Company featured so prominently at the British Burn Association Conference year after year. The positive feedback we receive from physicians continues to fuel our mission to revolutionize burn care.”

About the DeepView System

Spectral AI's DeepView System is a non-invasive, predictive medical device which combines multispectral imaging with a proprietary AI algorithm to assess the healing potential of areas within the burn wounds. The DeepView System provides physicians with an immediate, data-driven assessment of whether areas within burn wounds are unlikely to heal within 21 days and may require significant medical intervention, enabling earlier and more informed treatment decisions. The image acquisition takes 0.2 seconds, and all image processing and AI model classification takes approximately 20 to 25 seconds. The DeepView System is trained and tested against a proprietary and clinically validated database of over 340 billion pixels of burn wound image data.

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 a predictive diagnostic device that offers physicians 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 exceed the current standard of care, the DeepView System provides fast and accurate treatment insights to improve patient outcomes and reduce healthcare costs. Spectral AI has been named to TIME’s list of World’s Top HealthTech companies 2025. 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 US Securities and Exchange Commission, including the Company’s 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        
Devin.Sullivan@theequitygroup.com

Conor Rodriguez
Associate
Conor.Rodriguez@theequitygroup.com


FAQ

What did Spectral AI (Nasdaq:MDAI) announce about DeepView at the 2026 British Burn Association conference?

Spectral AI announced that its DeepView System was featured in multiple sessions and presentations at the 2026 British Burn Association conference. According to Spectral AI, these included podium and poster talks showcasing clinical outcomes, real-world evidence, and usability data for AI-enhanced multispectral imaging in burn wound assessment.

Why is Dr Jeffrey Carter’s BBA 1st Prize presentation important for Spectral AI (MDAI)?

Dr Jeffrey Carter received the BBA 1st Prize for his presentation on multispectral imaging with AI for burn wounds. According to Spectral AI, his work highlighted clinical outcomes using DeepView and was complemented by UK researchers’ real-world data, helping validate the technology’s performance and potential global clinical relevance.

What is the DeepView System from Spectral AI (MDAI) and how does it assist burn care?

DeepView is a non-invasive predictive device combining multispectral imaging with AI to assess burn wound healing potential. According to Spectral AI, it gives physicians immediate, data-driven insight into areas unlikely to heal within 21 days, supporting earlier treatment decisions and potentially improving patient outcomes and healthcare efficiency.

Has Spectral AI’s DeepView System (MDAI) received FDA De Novo classification and UKCA authorization?

DeepView received FDA De Novo Classification for burn wound assessment in May 2026 and initial UKCA authorization in February 2024. According to Spectral AI, these regulatory milestones support the device’s use in both the United States and United Kingdom burn care markets, subject to local adoption.

How quickly can Spectral AI’s DeepView System (MDAI) analyze burn wounds?

DeepView acquires an image in about 0.2 seconds and completes AI classification in roughly 20–25 seconds. According to Spectral AI, the system is trained and tested against over 340 billion pixels of burn wound image data, supporting rapid, algorithm-driven assessments of healing potential at the point of care.

What feedback did UK clinicians share about DeepView at the 2026 British Burn Association conference?

UK clinicians reported that DeepView may aid management of thermal burn wounds by offering immediate, objective healing assessments. According to Spectral AI, Mr. Shreyas Supparamaniam described DeepView as a diagnostic innovation with potential to transform burn care and improve patient treatment decisions in real-world hospital settings.