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Spectral AI Announces Submission to FDA of its DeepView® System
Globenewswire· 2025-06-30 12:00
Core Viewpoint - Spectral AI has submitted a De Novo 510k marketing clearance application to the FDA for its AI-driven DeepView® System, aimed at improving burn care through predictive assessments of healing potential [1][3]. Company Overview - Spectral AI, based in Dallas, focuses on predictive AI technology for medical diagnostics, particularly in wound care, with an emphasis on burn treatment [4]. - The DeepView System utilizes multi-spectral imaging and AI algorithms to provide non-invasive assessments of burn wounds, enabling timely and informed treatment decisions [2][4]. Product Details - The DeepView System is designed to predict the healing potential of burn wounds on the same day of injury and up to seven days post-injury, which can significantly enhance clinical decision-making [2][3]. - The technology is unique in the U.S. market, as there are currently no predicate devices available, necessitating the De Novo regulatory pathway for approval [1][3]. Regulatory Milestone - The submission of the De Novo request to the FDA is considered a major milestone for the company, marking a significant step towards bringing the DeepView System to the U.S. market [3]. - The project has received support from federal funds through the U.S. Department of Health and Human Services, indicating governmental backing for the development of this innovative technology [3].
DeepView® System highlighted at the annual British Burn Association conference
Globenewswire· 2025-06-10 12:00
Core Viewpoint - Spectral AI, Inc. is making significant advancements in burn care through its DeepView System, which enhances medical diagnostics and treatment decisions for wound care, as showcased at the British Burn Association conference [1][5][6]. Group 1: Company Overview - Spectral AI, Inc. is a Dallas-based predictive AI company focused on medical diagnostics, particularly in wound care, with initial applications for burn patients [7]. - The DeepView System aims to revolutionize wound care management by providing objective and immediate assessments of burn wounds' healing potential [7]. Group 2: Conference Highlights - The British Burn Association conference featured multiple presentations from Spectral AI, emphasizing the company's contributions to advancing burn care globally [1][5]. - Mr. Chris Wearn presented on the DeepView System, highlighting its potential to significantly improve acute burn care through its portability and AI-driven healing prediction capabilities [3][4]. - Dr. Jeffrey Carter reported promising results from early clinical experiences with DeepView, noting an increase in detection rates of non-healing wounds from 61% to 89% [5]. Group 3: Clinical Impact - The DeepView System has shown promising sensitivity and specificity results, enhancing clinicians' ability to assess burn wounds and improve patient outcomes [5]. - Feedback from clinicians at the conference indicates a positive impact of the DeepView System on clinical decision-making and patient care [6].
Spectral AI Announces Appointment of Stanley Micek as Chief Operating Officer
Globenewswire· 2025-05-30 12:00
Company Overview - Spectral AI, Inc. is an artificial intelligence company focused on medical diagnostics, specifically aimed at improving treatment decisions in wound care [3] - The company is developing the DeepView System, a predictive device designed to provide clinicians with an objective assessment of a burn wound's healing potential [3] Leadership Change - Stanley Micek has been appointed as the Chief Operating Officer (COO) of Spectral AI, having previously served as Interim COO since May 2024 [1] - Micek's leadership has been recognized for his operational insight and ability to drive performance, particularly in overseeing the company's Research and Development efforts [1][2] Strategic Focus - The company aims to revolutionize wound care management by utilizing the DeepView System to exceed current standards of care, thereby improving patient outcomes and reducing healthcare costs [3] - Micek expressed enthusiasm about leading the operations team and emphasized the importance of the recent Pivotal Burn Study in driving the company's FDA submission efforts [3]
Spectral AI Announces Voting Results from 2025 Annual Meeting of Stockholders
Globenewswire· 2025-05-29 12:00
Core Viewpoint - Spectral AI, Inc. held its 2025 Annual Meeting of Stockholders, where stockholders approved both proposals presented by the Company, with 15,551,068 shares, representing 60.8% of total shares outstanding, participating in the meeting [1][2]. Group 1: Company Overview - Spectral AI is a Dallas-based predictive AI company focused on medical diagnostics, particularly in wound care, aiming for faster and more accurate treatment decisions [3]. - The Company is developing the DeepView System, a predictive device designed to provide clinicians with an objective assessment of a burn wound's healing potential before treatment [3]. - The DeepView System aims to improve patient outcomes and reduce healthcare costs by offering algorithm-driven results that exceed the current standard of care [3]. Group 2: Governance and Financial Oversight - Six directors were elected to the Company's Board of Directors to serve until the next Annual Meeting of Stockholders [2]. - Stockholders ratified the appointment of KPMG LLP as the independent registered public accounting firm for the 2025 fiscal year [2].
DeepView® System Achieves 95.3% Accuracy Evaluation as Published in Burns Journal
Globenewswire· 2025-05-27 12:00
Core Insights - Spectral AI's DeepView System has demonstrated a 95.3% overall accuracy in predicting burn healing potential, significantly outperforming traditional subjective assessments [1][2] - The technology has been recognized in the journal Burns, highlighting its clinical importance and transformative role in burn care [2] Company Overview - Spectral AI, Inc. is a Dallas-based predictive AI company focused on enhancing medical diagnostics for wound care, particularly for burn patients [3] - The DeepView System aims to provide objective and immediate assessments of burn wounds, facilitating faster and more accurate treatment decisions [3] - The company is committed to improving patient outcomes and reducing healthcare costs through its innovative technology [3] Clinical Significance - The study published in Burns represents the first multi-center evaluation of AI-enhanced multispectral imaging in burn assessment, showcasing the effectiveness of the DeepView System across various clinical settings [2] - The technology empowers clinicians with data-driven insights, improving decision-making regarding healing time and the need for surgical interventions [2] Industry Context - Burns is a prominent peer-reviewed medical journal dedicated to advancements in burn care and wound healing, serving as a critical platform for sharing innovative techniques and best practices [2]
Spectral AI Research Partner Using DeepView System Wins Best Research Project at the 2025 Education Awards
Globenewswire· 2025-05-20 12:00
Core Insights - Spectral AI, Inc. announced that its research partners have won the Best Research Project award at the 2025 Education Awards for their work on diabetic foot ulcers using the DeepView System [1][3] Company Overview - Spectral AI is a Dallas-based predictive AI company focused on medical diagnostics, particularly in wound care, with initial applications for burn patients [4] - The DeepView System utilizes multi-spectral imaging and AI algorithms to provide objective assessments of burn wound healing potential [4] Research and Development - The awarded project demonstrates the integration of real-time multispectral imaging with AI analytics to enhance evaluation and treatment strategies for diabetic foot ulcers [3] - The research validates the clinical value of the DeepView System and contributes to expanding its clinical evidence base [3] Market Positioning - The findings from the research are expected to shape the company's commercialization strategy and position it strongly for broader market entry [3]