STOCK TITAN

FDA clears Spectral AI (NASDAQ: MDAI) DeepView burn device

Filing Impact
(High)
Filing Sentiment
(Neutral)
Form Type
8-K

Rhea-AI Filing Summary

Spectral AI, Inc. announced that the U.S. Food and Drug Administration granted De Novo Classification for its DeepView® System for burn care. This clearance authorizes the company to begin commercial distribution of DeepView in the United States.

The DeepView System is a non-invasive predictive device that uses multispectral imaging and a proprietary AI algorithm to assess burn wounds’ healing potential, helping clinicians decide earlier which areas are unlikely to heal within 21 days and may need significant intervention. Image capture takes about 0.2 seconds, with AI processing completed in roughly 20–25 seconds.

The system has been trained and tested on a clinically validated database of over 340 billion pixels of burn wound image data. Development is supported in whole or in part by federal funding from BARDA under contract number 75A50123C00049, positioning Spectral AI to move from development into U.S. commercialization for burn indications.

Positive

  • FDA De Novo Classification and U.S. commercialization: The FDA granted De Novo Classification for Spectral AI’s DeepView System for burn indications, authorizing commercial distribution in the United States and marking a major regulatory milestone for the company’s first wound-care application.

Negative

  • None.

Insights

FDA De Novo clearance lets Spectral AI commercialize DeepView for U.S. burn care.

The key development is FDA De Novo Classification for DeepView, Spectral AI’s predictive burn assessment system. De Novo status confirms a new, moderate-risk device type and authorizes commercial distribution in the U.S., moving the product from development into a commercial phase for burn indications.

DeepView combines multispectral imaging with a proprietary AI algorithm to identify burn areas unlikely to heal within 21 days, supporting earlier surgical and treatment decisions. The system is trained on a clinically validated database exceeding 340 billion pixels of burn wound images, suggesting substantial data depth behind its models.

The project is funded in whole or in part by BARDA under contract 75A50123C00049, indicating U.S. government support for this technology. Future disclosures in company filings may clarify commercialization pacing, revenue impact, and any expanded indications beyond the initial burn use case.

Item 7.01 Regulation FD Disclosure Disclosure
Material non-public information disclosed under Regulation Fair Disclosure, often investor presentations or guidance.
Item 9.01 Financial Statements and Exhibits Exhibits
Financial statements, pro forma financial information, and exhibit attachments filed with this report.
Common stock par value $0.0001 per share Spectral AI common stock par value
Warrant exercise price $2.75 per share Redeemable warrants exercisable for one share of common stock
Burn healing assessment horizon 21 days DeepView identifies burn areas unlikely to heal within 21 days
Image acquisition time 0.2 seconds Time for DeepView to capture a burn wound image
AI processing time 20–25 seconds Time for DeepView AI model classification after image capture
Training data volume Over 340 billion pixels Clinically validated burn wound image database for DeepView
BARDA contract number 75A50123C00049 Federal funding contract supporting DeepView project
HealthTech recognition year 2025 Named to TIME’s World’s Top HealthTech companies 2025
De Novo Classification regulatory
"the U.S. Food and Drug Administration granted De Novo Classification for its DeepView® System"
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.
DeepView System medical
"Spectral AI’s DeepView System is a non-invasive, predictive medical device"
multispectral imaging technical
"combines multispectral imaging with a proprietary AI algorithm to assess the healing potential"
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.
proprietary AI algorithm technical
"combines multispectral imaging with a proprietary AI algorithm to assess the healing potential"
Biomedical Advanced Research and Development Authority (BARDA) regulatory
"with federal funds from the Department of Health and Human Services (DHHS)... Biomedical Advanced Research and Development Authority (BARDA)"
A U.S. government agency that funds and supports the development of medical treatments, vaccines, diagnostics and devices for public health emergencies. For investors, BARDA matters because its funding, technical support and procurement commitments can lower a company’s development risk and create a reliable customer, much like a major early backer or anchor buyer that helps turn a risky idea into a viable product and market opportunity.
forward-looking statements financial
"Certain statements made in this release are “forward looking statements” within the meaning"
Forward-looking statements are predictions or plans that companies share about what they expect to happen in the future, like estimating sales or profits. They matter because they help investors understand a company's outlook, but since they are based on guesses and assumptions, they can sometimes be wrong.
false 0001833498 0001833498 2026-05-26 2026-05-26 0001833498 MDAI:CommonStockParValue0.0001PerShareMember 2026-05-26 2026-05-26 0001833498 MDAI:RedeemableWarrantsEachWholeWarrantExercisableForOneShareOfCommonStockAtExercisePriceOf2.75PerShareMember 2026-05-26 2026-05-26 iso4217:USD xbrli:shares iso4217:USD xbrli:shares

 

 

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

 

FORM 8-K

 

CURRENT REPORT

 

PURSUANT TO SECTION 13 OR 15(D) OF THE

SECURITIES EXCHANGE ACT OF 1934

 

Date of Report (Date of earliest event reported): May 26, 2026

 

SPECTRAL AI, INC.

(Exact name of registrant as specified in its charter)

 

Delaware   001-40058   85-3987148
(State or other jurisdiction
of incorporation)
  (Commission File Number)   (I.R.S. Employer
Identification No.)

 

2515 McKinney Avenue, Suite 1000

Dallas, Texas

  75201
(Address of principal executive offices)   (Zip Code)

 

(972) 499-4934

(Registrant’s telephone number, including area code)

 

Not Applicable

(Former name or former address, if changed since last report)

 

Check the appropriate box below if the Form 8-K is intended to simultaneously satisfy the filing obligation of the registrant under any of the following provisions:

 

Written communication pursuant to Rule 425 under the Securities Act (17 CFR 230.425)

 

Soliciting material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12)

 

Pre-commencement communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b))

 

Pre-commencements communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e-4(c))

 

Securities registered pursuant to Section 12(b) of the Act:

 

Title of each class   Trading Symbols   Name of each exchange on
which registered
Common Stock, par value $0.0001 per share   MDAI   The Nasdaq Stock Market LLC
Redeemable Warrants, each whole warrant exercisable for one share of Common Stock, at an exercise price of $2.75 per share   MDAIW   The Nasdaq Stock Market LLC

 

Indicate by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405 of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).

 

Emerging growth company

 

If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act.

 

 

 

 

 

Item 7.01. Regulation FD Disclosure.

 

On May 26, 2026, the Company issued a press release announcing that the U.S. Food and Drug Administration granted De Novo Classification for its DeepView® System. With this classification, the Company is authorized to commence commercial distribution activities in the United States. A copy of the press release is furnished as Exhibit 99.1 to this Current Report on Form 8-K. 

 

The information in this Item 7.01 to this Current Report on Form 8-K, and in Exhibit 99.1 furnished herewith, shall not be deemed to be “filed” for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to the liabilities of that section, nor shall such information be deemed incorporated by reference in any filing under the Securities Act of 1933, as amended, or the Exchange Act, except as expressly set forth by specific reference in such a filing.

 

Item 9.01. Financial Statements and Exhibits.

 

(d) Exhibits

 

Exhibit No.   Description
99.1   Press Release issued by Spectral AI, Inc. on May 26, 2026.
104   Cover Page Interactive Data File (embedded within the Inline XBRL document).

 

1

 

 

SIGNATURES

 

Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned hereunto duly authorized.

 

Dated: May 26, 2026

 

  SPECTRAL AI, INC.
   
  By: /s/ Vincent S. Capone
  Name:  Vincent S. Capone
  Title: Chief Executive Officer

 

2

 

Exhibit 99.1

 

 

Spectral AI Receives FDA De Novo Clearance for DeepView® System for Burn Indication

 

DALLAS, TX - May 26, 2026 - 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 the U.S. Food and Drug Administration (FDA) granted De Novo Classification for its DeepView® System. With this classification, Spectral AI is authorized to commence commercial distribution activities in the United States. The DeepView System is intended for use in burn care in various settings, including burn centers, trauma centers, and emergency departments.

 

“We are pleased that the FDA has recognized our novel technology. I am grateful for our dedicated team of employees and this milestone represents the culmination of years of hard work. Our ability to obtain FDA De Novo classification is a defining moment in Spectral AI’s history and a validation of our shared vision to bring to market our innovative predictive medical technology that provides a Day One diagnostic assessment of a burn wound’s healing potential,” said Vincent Capone, Chief Executive Officer.

 

“Today we celebrate a watershed moment in the history of Spectral AI,” said Dr. J. Michael DiMaio, Chairman of the Board of Spectral AI. “Adhering to a mantra of Finance, Focus, and Finish, we are now positioned to commence commercialization of the DeepView System, which we believe has the potential to redefine the standard of care in the assessment and treatment of burn wounds. We are confident that this pioneering technology will provide value across the healthcare ecosystem by improving patient outcomes and aligning care quality with cost efficiency.”

 

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 clinicians 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.

 

   

DeepView® System

Source: Spectral AI

 

Source: Wikimedia Commons

 

 

 

 

About BARDA and its Support of the DeepView System

 

This project is being supported in whole or in part with federal funds from the Department of Health and Human Services (DHHS); Administration for Strategic Preparedness and Response;  Biomedical Advanced Research and Development Authority (BARDA), under contract number 75A50123C00049. The findings and conclusions have not been formally disseminated by the DHHS and should not be construed to represent any agency determination or policy.

 

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 diagnostic 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. 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 Conor Rodriguez
Managing Director Associate
dsullivan@theequitygroup.com crodriguez@theequitygroup.com

 

 

FAQ

What FDA decision did Spectral AI (MDAI) receive for the DeepView System?

Spectral AI received FDA De Novo Classification for its DeepView System. This decision authorizes commercial distribution of DeepView in the United States for burn care, moving the technology from development toward real-world clinical use across burn centers, trauma centers, and emergency departments.

What is Spectral AI’s (MDAI) DeepView System used for in burn care?

The DeepView System predicts burn wounds’ healing potential. It uses non-invasive multispectral imaging and a proprietary AI algorithm to identify areas unlikely to heal within 21 days, helping clinicians make earlier, more informed decisions about surgical intervention and treatment planning for burn patients.

How fast does Spectral AI’s (MDAI) DeepView System produce burn assessments?

DeepView delivers diagnostic insight in under half a minute. Image acquisition takes about 0.2 seconds, while AI processing and model classification require roughly 20 to 25 seconds, providing clinicians with rapid, data-driven guidance during early burn evaluation and treatment decisions.

How much training data supports Spectral AI’s (MDAI) DeepView AI models?

DeepView is trained on over 340 billion pixels of burn image data. The system’s proprietary AI algorithm was trained and tested against a clinically validated database exceeding 340 billion pixels, supporting its predictive performance in assessing burn wounds’ healing potential before major treatment decisions.

What role does BARDA play in Spectral AI’s (MDAI) DeepView program?

BARDA provides federal funding support for the DeepView project. The program is supported in whole or in part by BARDA under contract number 75A50123C00049, reflecting U.S. government backing for developing Spectral AI’s predictive burn-diagnostics technology and its potential role in advanced wound care.

What business impact could the FDA De Novo decision have for Spectral AI (MDAI)?

The De Novo decision enables U.S. commercialization of DeepView for burns. With authorization to commence commercial distribution, Spectral AI can begin marketing its AI-driven burn diagnostic system, potentially opening a new revenue stream tied to wound care in specialized and emergency clinical settings.

Filing Exhibits & Attachments

5 documents