DeepView® System highlighted at the European Burns Association Congress
Spectral AI (NASDAQ: MDAI) showcased its DeepView® System at the European Burns Association (EBA) Congress in Berlin, Germany. The AI-powered medical diagnostics technology was featured in six key presentations and posters from various international medical institutions, primarily focusing on burn wound assessment and treatment.
Notable presentations included studies from the North Bristol NHS Trust, Louisiana State University, and the Royal Victoria Infirmary, demonstrating the system's application in real-world settings. The research highlighted DeepView's capabilities in burn depth assessment, wound healing potential prediction, and patient experience measurements using AI-enhanced multispectral imaging.
Spectral AI (NASDAQ: MDAI) ha presentato il suo sistema DeepView® al congresso della European Burns Association (EBA) a Berlino, Germania. La tecnologia diagnostica medica basata sull'intelligenza artificiale è stata protagonista di sei presentazioni e poster principali provenienti da diversi istituti medici internazionali, con un focus principale sulla valutazione e sul trattamento delle ustioni.
Tra le presentazioni di rilievo figurano studi del North Bristol NHS Trust, della Louisiana State University e del Royal Victoria Infirmary, che hanno mostrato l'applicazione del sistema in contesti clinici reali. Le ricerche hanno evidenziato le capacità di DeepView nella valutazione della profondità delle ustioni, nella previsione del potenziale di guarigione delle ferite e nella misurazione dell'esperienza del paziente grazie all'imaging multispettrale potenziato dall'IA.
Spectral AI (NASDAQ: MDAI) presentó su sistema DeepView® en el congreso de la European Burns Association (EBA) en Berlín, Alemania. La tecnología diagnóstica médica impulsada por IA apareció en seis presentaciones y pósteres clave procedentes de diversas instituciones médicas internacionales, centradas principalmente en la evaluación y el tratamiento de quemaduras.
Entre las presentaciones destacadas hubo estudios del North Bristol NHS Trust, la Louisiana State University y el Royal Victoria Infirmary, que demostraron la aplicación del sistema en entornos reales. Las investigaciones resaltaron las capacidades de DeepView para evaluar la profundidad de las quemaduras, predecir el potencial de cicatrización de las heridas y medir la experiencia del paciente mediante imágenes multispectrales mejoradas por IA.
Spectral AI (NASDAQ: MDAI)는 독일 베를린에서 열린 European Burns Association(EBA) 학회에서 DeepView® 시스템을 선보였습니다. 이 인공지능 기반 의료 진단 기술은 주로 화상 상처의 평가 및 치료에 초점을 둔 6건의 주요 발표 및 포스터에 소개되었습니다.
주요 발표로는 North Bristol NHS Trust, Louisiana State University, Royal Victoria Infirmary의 연구들이 포함되어 실제 임상 환경에서 시스템의 적용 사례를 보여주었습니다. 연구들은 AI 기반 다중스펙트럼 이미징을 통해 DeepView가 화상 깊이 평가, 상처 치유 가능성 예측, 환자 경험 측정에서 보여주는 역량을 강조했습니다.
Spectral AI (NASDAQ: MDAI) a présenté son système DeepView® au congrès de la European Burns Association (EBA) à Berlin, en Allemagne. La technologie de diagnostic médical alimentée par l'IA a été mise en avant dans six présentations et posters clés provenant de diverses institutions médicales internationales, portant principalement sur l'évaluation et le traitement des brûlures.
Parmi les présentations remarquables figuraient des études du North Bristol NHS Trust, de la Louisiana State University et du Royal Victoria Infirmary, démontrant l'application du système en conditions réelles. Les recherches ont souligné les capacités de DeepView pour l'évaluation de la profondeur des brûlures, la prédiction du potentiel de cicatrisation des plaies et la mesure de l'expérience patient grâce à l'imagerie multispectrale améliorée par l'IA.
Spectral AI (NASDAQ: MDAI) präsentierte sein DeepView® System auf dem Kongress der European Burns Association (EBA) in Berlin, Deutschland. Die KI-gestützte medizintechnische Diagnostik wurde in sechs zentralen Vorträgen und Postern verschiedener internationaler medizinischer Einrichtungen vorgestellt, mit Schwerpunkt auf der Beurteilung und Behandlung von Brandwunden.
Zu den bemerkenswerten Präsentationen gehörten Studien des North Bristol NHS Trust, der Louisiana State University und des Royal Victoria Infirmary, die den Einsatz des Systems in realen klinischen Umgebungen zeigten. Die Forschung hob die Fähigkeiten von DeepView bei der Einschätzung der Verletzungstiefe, der Vorhersage des Heilungspotenzials und der Messung der Patientenerfahrung mittels KI-gestützter multispektraler Bildgebung hervor.
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DALLAS, Sept. 10, 2025 (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 announced its prominent role at the European Burns Association (EBA) conference, held from September 3rd – 6th in Berlin, Germany. The Company was featured in multiple presentations, highlighting its contributions to advancing burn care across the globe.
Key Presentations and Posters at EBA:
- Multispectral Imaging and Assessment of Burns Healing Potential: A Prospective Real-World Study to assess the DeepView Snapshot Imaging Platform – Sam Snelling, North Bristol NHS Trust, Bristol, United Kingdom
- The First Reader Study of Burn Wounds with Predictive Artificial Intelligence Analysis – Victoria Miles, Louisiana State University Health and Science Center, New Orleans, US
- Artificial Intelligence-Enhanced Multispectral Imaging for Burn Wound Assessment: Insights from a Multi-Centre UK Trial – Mr. Leslie Poh Hong Tan, Royal Victoria Infirmary, Newcastle, United Kingdom
- Early Experiences of the DeepView System wound imaging technology in a UK regional burn centre – Megan Beese, Queens Elizabeth Hospital, Birmingham, United Kingdom
- Patient Experience of Using Artificial Intelligence-Enhanced Multispectral Imaging to Measure Burn Depth: A Regional Burns Centre Review – Miriam Nyeko-Lacek, Manchester University NHS Foundation Trust, United Kingdom
- Preliminary Experience Using Artificial Intelligence and Multispectral Imaging for Burn Depth Assessment – Nicholas Solanki, Burns Unit Royal Adelaide Hospital, Adelaide, Australia
Mr. Chris Lewis, Consultant Burn and Plastic Surgeon from Royal Victory Infirmary in Newcastle, said “With multiple presentations and posters from my team, colleagues and fellow users of DeepView in the United Kingdom, I was excited to see the results of their research and the interest by the European Burn Specialists. Our institution, as an early adopter, continues to use and see the value of the DeepView technology and we look forward to continuing to develop research and share our findings.”
The European Burns Association Congress is a non-profit forum uniting specialists, researchers, and allied professionals to share knowledge, advance research, and promote best practices in burn prevention and treatment across Europe.
Dr. J. Michael DiMaio, Chairman of the Board of Spectral AI, expressed pride in the Company’s role at the conference: “I am pleased with the DeepView System’s reception and results from our initial placement in the United Kingdom. We continue to seek physician feedback and support to bring this advanced burn wound technology to the worldwide market.”
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
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