Burn clinicians present positive findings of the DeepView® System’s accuracy at the American Burn Association annual meeting
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.
Spectral AI (NASDAQ: MDAI) ha presentato il suo DeepView® System all'incontro annuale dell'American Burn Association a Phoenix, Arizona. L'evento, a cui hanno partecipato oltre 2.200 professionisti specializzati nella cura delle ustioni, ha messo in luce importanti progressi nella tecnologia per la valutazione delle ferite da ustione.
Le scoperte chiave illustrate da Leslie Tan del Newcastle Burns Centre hanno evidenziato l'impressionante accuratezza del 95% del DeepView System nel prevedere il potenziale di guarigione delle ferite da ustione entro 21 giorni. La tecnologia ha ricevuto ulteriore riconoscimento quando Zeeshan Sheikh del Wythenshawe Hospital ha vinto il premio Best in Category per la sua presentazione sull'esperienza dei pazienti con l'imaging multispettrale potenziato dall'IA.
Il DeepView System, che combina immagini multispettrali con algoritmi di intelligenza artificiale, è attualmente operativo in diversi ospedali NHS nel Regno Unito. Il Newcastle Burn Centre, che tratta circa 500 pazienti ustionati ogni anno, è stata la prima istituzione al mondo a condurre una valutazione indipendente di questa tecnologia.
Spectral AI (NASDAQ: MDAI) presentó su DeepView® System en la reunión anual de la American Burn Association en Phoenix, Arizona. El evento, al que asistieron más de 2,200 profesionales en cuidado de quemaduras, destacó logros significativos en la tecnología para la evaluación de heridas por quemaduras.
Los hallazgos clave presentados por Leslie Tan del Newcastle Burns Centre revelaron la impresionante tasa de precisión del 95% del DeepView System para predecir el potencial de curación de heridas por quemaduras en un plazo de 21 días. La tecnología recibió un reconocimiento adicional cuando Zeeshan Sheikh del Wythenshawe Hospital ganó el premio Best in Category por su presentación sobre la experiencia del paciente con imágenes multiespectrales mejoradas con IA.
El DeepView System, que combina imágenes multiespectrales con algoritmos de IA, está actualmente en funcionamiento en varios hospitales del NHS en el Reino Unido. El Newcastle Burn Centre, que atiende aproximadamente a 500 pacientes con quemaduras al año, fue la primera institución en el mundo en realizar una evaluación independiente de esta tecnología.
Spectral AI(NASDAQ: MDAI)는 애리조나주 피닉스에서 열린 American Burn Association 연례 회의에서 DeepView® System을 선보였습니다. 2,200명 이상의 화상 치료 전문가들이 참석한 이 행사에서는 화상 상처 평가 기술의 중요한 성과가 강조되었습니다.
뉴캐슬 화상 센터의 Leslie Tan이 발표한 주요 결과에 따르면, DeepView System은 21일 이내 화상 상처 치유 가능성을 예측하는 데 있어 95%의 높은 정확도를 보였습니다. 또한 Wythenshawe 병원의 Zeeshan Sheikh가 AI 강화 다중분광 이미징을 활용한 환자 경험 발표로 Best in Category 상을 수상하며 기술의 가치를 인정받았습니다.
DeepView System은 다중분광 이미징과 AI 알고리즘을 결합한 기술로, 현재 영국 내 여러 NHS 병원에서 운영 중입니다. 연간 약 500명의 화상 환자를 치료하는 뉴캐슬 화상 센터는 이 기술에 대한 독립적인 평가를 수행한 세계 최초의 기관입니다.
Spectral AI (NASDAQ : MDAI) a présenté son DeepView® System lors de la réunion annuelle de l'American Burn Association à Phoenix, Arizona. L'événement, qui a réuni plus de 2 200 professionnels spécialisés dans les soins aux brûlés, a mis en avant des avancées majeures dans la technologie d'évaluation des plaies de brûlure.
Les résultats clés présentés par Leslie Tan du Newcastle Burns Centre ont révélé un taux d'exactitude de 95 % pour le DeepView System dans la prédiction du potentiel de cicatrisation des plaies de brûlure sous 21 jours. La technologie a également été reconnue lorsque Zeeshan Sheikh de l'hôpital Wythenshawe a remporté le prix Best in Category pour sa présentation sur l'expérience patient avec l'imagerie multispectrale améliorée par l'IA.
Le DeepView System, qui combine imagerie multispectrale et algorithmes d'IA, est actuellement utilisé dans plusieurs hôpitaux du NHS au Royaume-Uni. Le Newcastle Burn Centre, qui traite environ 500 patients brûlés par an, a été la première institution mondiale à réaliser une évaluation indépendante de cette technologie.
Spectral AI (NASDAQ: MDAI) stellte sein DeepView® System auf der Jahrestagung der American Burn Association in Phoenix, Arizona, vor. Die Veranstaltung, an der über 2.200 Fachleute aus der Verbrennungsbehandlung teilnahmen, hob bedeutende Fortschritte in der Technologie zur Beurteilung von Brandwunden hervor.
Wesentliche Erkenntnisse, präsentiert von Leslie Tan vom Newcastle Burns Centre, zeigten die beeindruckende 95% Genauigkeit des DeepView Systems bei der Vorhersage des Heilungspotenzials von Brandwunden innerhalb von 21 Tagen. Die Technologie erhielt zusätzliche Anerkennung, als Zeeshan Sheikh vom Wythenshawe Hospital den Best in Category-Preis für seine Präsentation zur Patientenerfahrung mit KI-gestützter Multispektralbildgebung gewann.
Das DeepView System, das multispektrale Bildgebung mit KI-Algorithmen kombiniert, ist derzeit in mehreren NHS-Krankenhäusern im Vereinigten Königreich im Einsatz. Das Newcastle Burn Centre, das jährlich etwa 500 Brandpatienten behandelt, war die erste Institution weltweit, die eine unabhängige Bewertung dieser Technologie durchführte.
- 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
- Product still in pre-commercial phase, awaiting full launch
- Limited geographical presence, currently only in UK hospitals
Insights
DeepView® System shows 95% accuracy for burn healing prediction with UK hospital adoption and clinical recognition, validating Spectral AI's core technology.
The clinical data presented at the American Burn Association meeting offers compelling validation for Spectral AI's DeepView® System. UK clinician Leslie Tan reported over 95% accuracy in predicting burn wound healing potential by 21 days, describing it as "one of the highest I've seen amongst the machines I've evaluated over the last few years." This level of accuracy is particularly significant in burn care, where precise assessment directly impacts treatment decisions.
The system has achieved practical implementation in multiple NHS hospitals across the United Kingdom, with Newcastle Burn Centre (treating approximately 500 burn patients annually) completing the first independent product evaluation globally. This real-world clinical integration demonstrates practical utility beyond theoretical applications.
The technology's recognition at the conference, including a "Best in Category" award for a poster on patient experience, signals growing clinical acceptance. The multi-spectral imaging approach combined with AI algorithms addresses a persistent challenge in burn assessment - accurate healing prediction - which traditionally relies on subjective visual examination. This objective measurement tool represents a meaningful advancement in burn care technology and suggests strong clinical foundation for Spectral AI's referenced "future commercial launch."
Spectral AI's DeepView shows strong clinical validation with 95% accuracy and UK hospital adoption, building foundation for commercial success.
This clinical validation represents a significant milestone in Spectral AI's commercial development pathway. The 95% accuracy rate in predicting burn wound healing directly addresses a critical unmet need in burn assessment, potentially creating value through both improved patient outcomes and healthcare cost efficiency via more appropriate treatment planning.
The current implementation across multiple NHS hospitals provides real-world validation and establishes credibility within a major healthcare system. This UK presence creates an important reference market and suggests the technology has passed initial clinical utility hurdles.
The recognition at the American Burn Association meeting enhances market visibility among key stakeholders. The engagement strategies mentioned - including "dynamic presentations," "breakfast symposia with key clinical investigators," and "multiple interactions" - demonstrate effective clinical community outreach essential for medical technology adoption.
While the press release references a "future commercial launch," it doesn't specify regulatory status, approval timelines, or commercialization strategies beyond the UK. The current hospital implementations likely represent evaluation agreements rather than full commercial rollout. Nevertheless, this growing clinical validation substantially de-risks the technology development pathway and positions the company for potential commercial success.
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 7th - 11th 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
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?
Which UK hospitals are currently using Spectral AI's (MDAI) DeepView System for burn assessment?
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What recognition did DeepView System receive at the 2025 ABA conference?
How many burn patients does Newcastle Burn Centre treat annually using MDAI's DeepView System?
