DeepView® System Achieves 95.3% Accuracy Evaluation as Published in Burns Journal
Spectral AI's (NASDAQ: MDAI) DeepView® System has achieved a remarkable 95.3% accuracy in burn healing assessment, as published in the prestigious Burns journal. The multi-center clinical study validates the system's effectiveness in using AI-driven multi-spectral imaging to predict burn healing potential across diverse clinical settings.
The technology enables clinicians to make earlier, more informed decisions about healing time and surgical requirements, potentially improving patient outcomes. This publication in Burns, a leading peer-reviewed medical journal of the International Society for Burn Injuries, represents the first multi-center evaluation of AI-enhanced multispectral imaging in burn assessment.
Il sistema DeepView® di Spectral AI (NASDAQ: MDAI) ha raggiunto un notevole 95,3% di accuratezza nella valutazione della guarigione delle ustioni, come riportato sulla prestigiosa rivista Burns. Lo studio clinico multicentrico conferma l'efficacia del sistema nell'utilizzo dell'imaging multispettrale guidato dall'IA per prevedere il potenziale di guarigione delle ustioni in diversi contesti clinici.
Questa tecnologia consente ai medici di prendere decisioni più precoci e informate riguardo ai tempi di guarigione e alle necessità chirurgiche, migliorando potenzialmente i risultati per i pazienti. La pubblicazione su Burns, una delle principali riviste mediche peer-reviewed della International Society for Burn Injuries, rappresenta la prima valutazione multicentrica dell'imaging multispettrale potenziato dall'IA nella valutazione delle ustioni.
El sistema DeepView® de Spectral AI (NASDAQ: MDAI) ha alcanzado una notable precisión del 95,3% en la evaluación de la cicatrización de quemaduras, según se publicó en la prestigiosa revista Burns. El estudio clínico multicéntrico valida la eficacia del sistema en el uso de imágenes multiespectrales impulsadas por IA para predecir el potencial de curación de quemaduras en diversos entornos clínicos.
Esta tecnología permite a los clínicos tomar decisiones más tempranas y fundamentadas sobre el tiempo de curación y las necesidades quirúrgicas, mejorando potencialmente los resultados para los pacientes. Esta publicación en Burns, una revista médica líder revisada por pares de la International Society for Burn Injuries, representa la primera evaluación multicéntrica de imágenes multiespectrales mejoradas con IA en la evaluación de quemaduras.
Spectral AI(NASDAQ: MDAI)의 DeepView® 시스템은 화상 치유 평가에서 놀라운 95.3% 정확도를 달성했으며, 이는 권위 있는 Burns 저널에 게재되었습니다. 다기관 임상 연구를 통해 다양한 임상 환경에서 AI 기반 다중 스펙트럼 영상을 활용해 화상 치유 가능성을 예측하는 시스템의 효과가 입증되었습니다.
이 기술은 임상의가 치유 시간과 수술 필요성에 대해 더 빠르고 정확한 결정을 내릴 수 있게 하여 환자 치료 결과를 향상시킬 수 있습니다. Burns는 국제 화상학회(International Society for Burn Injuries)의 주요 동료 심사 의학 저널로, 이번 발표는 AI 강화 다중 스펙트럼 영상을 활용한 화상 평가의 첫 다기관 평가를 의미합니다.
Le système DeepView® de Spectral AI (NASDAQ : MDAI) a atteint une remarquable précision de 95,3 % dans l’évaluation de la cicatrisation des brûlures, comme publié dans la prestigieuse revue Burns. L’étude clinique multicentrique valide l’efficacité du système utilisant l’imagerie multispectrale pilotée par IA pour prédire le potentiel de guérison des brûlures dans divers contextes cliniques.
Cette technologie permet aux cliniciens de prendre des décisions plus précoces et mieux informées concernant le temps de guérison et les besoins chirurgicaux, améliorant potentiellement les résultats pour les patients. Cette publication dans Burns, une revue médicale de référence à comité de lecture de l’International Society for Burn Injuries, représente la première évaluation multicentrique de l’imagerie multispectrale améliorée par IA dans l’évaluation des brûlures.
Das DeepView® System von Spectral AI (NASDAQ: MDAI) hat eine bemerkenswerte Treffsicherheit von 95,3% bei der Beurteilung der Brandwundheilung erreicht, wie in der renommierten Fachzeitschrift Burns veröffentlicht wurde. Die multizentrische klinische Studie bestätigt die Wirksamkeit des Systems bei der Nutzung von KI-gesteuerter multispektraler Bildgebung, um das Heilungspotenzial von Brandwunden in verschiedenen klinischen Umgebungen vorherzusagen.
Die Technologie ermöglicht es Ärzten, frühere und fundiertere Entscheidungen hinsichtlich der Heilungsdauer und der chirurgischen Anforderungen zu treffen, was potenziell die Patientenergebnisse verbessert. Diese Veröffentlichung in Burns, einer führenden peer-reviewed medizinischen Fachzeitschrift der International Society for Burn Injuries, stellt die erste multizentrische Bewertung der KI-gestützten multispektralen Bildgebung bei der Brandwundbeurteilung dar.
- Achieved high accuracy rate of 95.3% in burn healing assessment
- Successfully published results in prestigious Burns medical journal
- First multi-center evaluation demonstrating effectiveness across different clinical settings
- Technology enables earlier clinical decision-making for treatment
- None.
Insights
Spectral AI's DeepView achieved 95.3% accuracy in burn assessment in a multi-center study, validating its clinical potential for improved treatment decisions.
The clinical validation of Spectral AI's DeepView System in the prestigious Burns journal represents a significant milestone for the company's AI-driven burn assessment technology. The reported
The core value proposition of DeepView lies in its ability to provide objective, data-driven assessments of burn depth using multi-spectral imaging combined with AI algorithms. This addresses a fundamental challenge in burn care where traditional visual assessments are highly subjective and variable between clinicians. Accurate burn depth assessment is crucial as it directly determines treatment pathways - whether a burn will heal naturally or require surgical intervention.
From a regulatory and commercialization perspective, this peer-reviewed validation strengthens DeepView's position substantially. Multi-center studies carry significant weight with regulatory bodies like FDA, as they demonstrate reproducibility across different settings and patient populations. For potential hospital customers, this published evidence in a respected journal provides the clinical validation necessary to justify adoption and reimbursement discussions.
The technology's ability to enable earlier decision-making regarding healing time and surgical necessity directly translates to improved patient outcomes through faster appropriate interventions and potentially reduced unnecessary surgeries. This represents both clinical benefit and potential cost savings to healthcare systems, strengthening the economic case for adoption alongside the clinical one.
DALLAS, May 27, 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 that the Company’s DeepView System has been featured in the journal Burns as part of a clinical study in which it achieved a
Chris Lewis, a lead author of the study, said "We are thrilled to see our experience with the DeepView technology published in Burns. This research highlights the transformative role of this cutting-edge technology in evaluating burn depth. By providing clinicians with data-driven insights, DeepView empowers earlier decision-making regarding healing time and the necessity of surgical debridement, ultimately improving patient outcomes. The study represents the first multi-center evaluation of AI-enhanced multispectral imaging in burn assessment which demonstrates the DeepView System’s effectiveness across diverse clinical settings. Being published in Burns is a testament to the clinical importance of the DeepView® device. The technology is not only innovative but also has the potential to revolutionize burn care on a global scale.”
Burns: The Journal of the International Society for Burn Injuries is a prominent, peer-reviewed medical journal dedicated to research and advancements in the field of burn care, wound healing, and thermal injury treatment. It serves as a critical platform for clinicians, surgeons, and researchers worldwide to share groundbreaking findings, innovative techniques, and best practices in burn management.
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.
For Media and Investor Relations, please contact:
David Kugelman
Atlanta Capital Partners LLC
(866) 692-6847 Toll Free - U.S. & Canada
(404) 281-8556 Mobile and WhatsApp
Email: dk@atlcp.com
FAQ
What accuracy rate did Spectral AI's (MDAI) DeepView System achieve in burn assessment?
How does Spectral AI's DeepView System work for burn assessment?
What is significant about the Burns journal publication for Spectral AI (MDAI)?
What are the clinical benefits of Spectral AI's DeepView System?
