AI-Powered Remote Wound Assessment Market 2025-2034

Report Description

This report is updated with the latest market data and insights as of June 2026. Base year: 2025  |  Forecast period: 2026-2034

AI-Powered Remote Wound Assessment Market Outlook

According to our latest research, the AI-powered remote wound assessment market size reached USD 1.57 billion in 2025, reflecting robust adoption across healthcare ecosystems globally. The market is projected to expand at a remarkable CAGR of 22.6% from 2026 to 2034, reaching an estimated USD 9.87 billion by 2034. This growth is primarily driven by the increasing prevalence of chronic wounds, the surge in telehealth adoption, and rapid advancements in artificial intelligence technologies that enable accurate, real-time wound monitoring and management remotely. As healthcare systems worldwide intensify their focus on digital transformation and value-based care delivery, AI-powered wound assessment platforms are transitioning from niche clinical tools to mainstream components of modern wound management protocols.

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The primary growth driver for the AI-powered remote wound assessment market is the escalating global burden of chronic diseases such as diabetes, obesity, and vascular disorders, which significantly increase the risk of chronic and non-healing wounds. According to the International Diabetes Federation, over 540 million adults were living with diabetes as of 2025, a figure expected to rise steadily over the coming decade, amplifying the need for advanced wound care solutions. AI-powered platforms enable healthcare providers to remotely monitor wound progression, make timely interventions, and reduce the risk of complications such as infections or amputations. This capability is particularly crucial for populations with limited access to specialized wound care, including rural, elderly, and mobility-impaired patients, thereby driving widespread adoption and market growth across diverse care settings. The growing convergence of AI-driven wound care analytics with telehealth platforms is accelerating this transformation.

Another key factor fueling market expansion in 2025 and beyond is the growing integration of telemedicine and digital health platforms into mainstream healthcare delivery. The COVID-19 pandemic permanently shifted patient and provider expectations toward remote health monitoring, and this behavioral change has created a durable foundation for continued adoption. AI-powered wound assessment solutions leverage advanced imaging, machine learning, and predictive analytics to provide objective, standardized wound evaluations. These technologies not only facilitate better clinical decision-making but also support evidence-based care pathways, reducing variability and improving patient outcomes. As healthcare systems continue to prioritize digital transformation, demand for AI-powered telemedicine triage capabilities that include wound care components is accelerating, creating new cross-segment opportunities.

The AI-powered remote wound assessment market is also benefiting from ongoing technological advancements and strategic collaborations between healthcare providers, technology firms, and research institutions. Innovations in computer vision, deep learning, and natural language processing have significantly enhanced the accuracy and reliability of wound assessment algorithms. Partnerships focused on integrating AI tools with electronic health records and telehealth platforms are streamlining clinical workflows, improving data interoperability, and fostering a more holistic approach to patient care. These synergies are not only expanding the market's reach but also setting new standards for quality and efficiency in wound management. Vendors are increasingly investing in federated learning and edge AI capabilities to overcome data privacy barriers while maintaining high diagnostic accuracy.

The market is witnessing a transformative shift with the introduction of specialized tools such as the AI-Enhanced Diabetes Foot Ulcer Monitor. This innovative technology is specifically designed to address the unique challenges faced by diabetic patients, who are at increased risk of developing foot ulcers due to neuropathy and poor circulation. By leveraging advanced AI algorithms, the monitor provides precise, real-time assessments of foot ulcers, enabling healthcare providers to detect subtle changes in wound condition that may indicate complications. This early detection capability is crucial in preventing severe outcomes such as infections or amputations, ultimately improving the quality of life for diabetic patients. As the prevalence of diabetes continues to rise globally, the integration of such targeted AI solutions is expected to play a pivotal role in enhancing diabetic wound care and reducing the burden on healthcare systems.

From a regional perspective, North America continues to dominate the global AI-powered remote wound assessment market, accounting for the largest revenue share in 2025. This leadership is attributed to the region's advanced healthcare infrastructure, high adoption of digital health technologies, and favorable reimbursement policies supporting telehealth and remote monitoring. Europe follows closely, driven by robust investments in healthcare innovation and a growing aging population. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by increasing healthcare digitization, rising chronic disease prevalence, and government initiatives to enhance rural healthcare access. As healthcare systems worldwide continue to embrace AI-driven solutions, regional disparities are expected to narrow, fostering more equitable access to advanced wound care over the 2026-2034 forecast period.

Component Analysis

The AI-powered remote wound assessment market is segmented by component into software, hardware, and services. The software segment constitutes the backbone of this market, encompassing advanced AI algorithms, mobile applications, and cloud-based analytics platforms that facilitate real-time wound assessment and documentation. These software solutions leverage deep learning and computer vision to analyze wound images, measure wound size, and track healing progress over time. The continuous evolution of AI models, with improved accuracy and adaptability, is driving rapid adoption among healthcare providers seeking to standardize wound care and minimize subjectivity in assessments. The integration of these software tools with electronic health records and telehealth platforms further enhances workflow efficiency and data accessibility, making the software segment the dominant revenue contributor with approximately 54.5% of market share in 2025.

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Hardware components, including high-resolution cameras, smartphones, tablets, and dedicated imaging devices, play a crucial role in capturing detailed wound images for AI analysis. The proliferation of affordable, user-friendly imaging devices has democratized access to remote wound assessment, enabling both clinicians and patients to participate actively in wound monitoring. Recent advancements in sensor technology and mobile device integration have led to the development of portable, point-of-care imaging solutions with enhanced image quality and real-time connectivity. These innovations are particularly beneficial in home healthcare and rural settings, where access to specialized wound care is limited. Innovations in AI-enhanced remote diagnostic imaging are increasingly being adapted for wound-specific applications, bringing new levels of resolution and spectral analysis to bedside and home care environments. The hardware segment holds approximately 26.3% of market share in 2025.

The services segment encompasses a wide range of offerings, including implementation support, training, technical assistance, and ongoing maintenance, representing approximately 19.2% of the 2025 market. As healthcare organizations increasingly deploy AI-powered wound assessment solutions, the demand for specialized services to ensure seamless integration, user training, and system optimization is rising substantially. Service providers play a critical role in facilitating adoption by addressing technical challenges, customizing solutions to specific clinical workflows, and providing continuous updates to keep pace with regulatory and technological changes. The services segment is expected to witness significant growth through the 2026-2034 forecast period as healthcare providers seek end-to-end support for successful digital transformation in wound care management.

The interplay between software, hardware, and services is shaping the competitive landscape of the AI-powered remote wound assessment market. Vendors are increasingly offering bundled solutions that combine robust AI software with compatible imaging hardware and comprehensive support services. This integrated approach not only enhances user experience but also accelerates market penetration by addressing the diverse needs of healthcare providers, patients, and payers. As the market matures through the forecast period, the focus is shifting towards scalability, interoperability, and data security, with stakeholders prioritizing solutions that deliver measurable clinical and economic benefits. Companies that can offer end-to-end platforms spanning all three component categories are gaining competitive advantages in large enterprise contracts with hospital systems and integrated delivery networks.

Report Scope

Wound Type Analysis

The AI-powered remote wound assessment market is segmented by wound type into chronic wounds, acute wounds, surgical wounds, traumatic wounds, and others. Chronic wounds, including diabetic foot ulcers, pressure ulcers, and venous leg ulcers, represent the largest and fastest-growing segment in 2025. The high prevalence of chronic diseases, aging populations, and the associated risk of non-healing wounds are major factors driving demand for advanced wound assessment solutions. AI-powered platforms offer objective, consistent monitoring of chronic wounds, enabling early detection of complications and timely interventions that can prevent hospitalizations and reduce healthcare costs. The ability to remotely track wound healing trajectories is particularly valuable for patients with limited mobility or those residing in long-term care facilities. Specialized tools focused on managing burn wound assessment with AI are also advancing the quality of care for complex acute wound presentations.

Acute wounds, resulting from injuries, accidents, or surgical procedures, constitute another significant segment within the market. While acute wounds generally heal faster than chronic wounds, they still require careful monitoring to prevent infections and ensure optimal recovery. AI-driven remote assessment tools facilitate regular follow-up, allowing clinicians to promptly identify signs of delayed healing or complications. This capability is especially important in post-operative care, where early intervention can significantly improve patient outcomes and reduce the risk of readmissions. The increasing adoption of minimally invasive surgical techniques and outpatient procedures is further fueling demand for remote wound monitoring solutions in this segment throughout the 2026-2034 forecast period.

Surgical wounds, which arise from incisions made during medical procedures, are a critical focus area for remote wound assessment technologies in 2025. Post-surgical wound infections remain a leading cause of hospital readmissions and healthcare-associated costs worldwide. AI-powered assessment platforms enable continuous, remote surveillance of surgical sites, providing clinicians with real-time insights into wound healing status. By leveraging predictive analytics and image-based algorithms, these solutions support proactive care management, reducing the incidence of surgical site infections and improving overall patient safety. The integration of remote wound assessment into perioperative care pathways is gaining strong traction among hospitals and ambulatory surgery centers seeking to optimize resource utilization and enhance patient satisfaction metrics.

Traumatic wounds, including those caused by accidents, burns, or other injuries, present unique challenges for remote assessment due to their variability in severity and complexity. AI-powered tools equipped with advanced image recognition capabilities are increasingly being utilized to assess traumatic wounds, estimate tissue damage, and recommend appropriate care protocols. These solutions are particularly valuable in emergency and disaster response scenarios, where timely wound assessment can be lifesaving. The ability to remotely triage and monitor traumatic wounds is driving adoption among emergency medical services, military healthcare providers, and disaster response teams, further expanding the market's reach into non-traditional healthcare settings and government procurement channels.

Application Analysis

The application segment of the AI-powered remote wound assessment market encompasses hospitals, home healthcare, clinics, long-term care facilities, and others. Hospitals remain the primary adopters of AI-powered wound assessment technologies in 2025, leveraging these tools to improve clinical outcomes, streamline workflows, and reduce the risk of hospital-acquired infections. The integration of AI-driven platforms with hospital information systems and EHRs enables seamless data sharing and multidisciplinary collaboration, supporting evidence-based wound care. Hospitals are also investing in telehealth solutions to extend wound care services to outpatients and discharged patients, thereby reducing readmissions and optimizing bed utilization. The adoption of AI-powered tools for skin and wound conditions is further supported by the growing use of AI-powered digital triage tools for dermatology, which complement wound assessment workflows within hospital dermatology and wound care departments.

Home healthcare represents a rapidly growing application segment, driven by the increasing preference for patient-centered, cost-effective care delivery models. AI-powered remote wound assessment solutions empower patients and caregivers to actively participate in wound monitoring from the comfort of their homes. These platforms provide step-by-step guidance for image capture, automated wound measurements, and real-time feedback on wound status. Remote connectivity with healthcare providers ensures timely interventions and reduces the need for frequent clinic visits, improving patient adherence and satisfaction. The expansion of home healthcare services, particularly for elderly and chronically ill patients, is expected to drive significant market growth in this segment throughout the 2026-2034 forecast period.

Clinics, including primary care and specialized wound care centers, are increasingly adopting AI-powered remote assessment tools in 2025 to enhance diagnostic accuracy and treatment planning. These solutions support clinicians in conducting comprehensive wound evaluations, tracking healing progress, and documenting outcomes for quality assurance and reimbursement purposes. The ability to remotely consult with wound care specialists and access centralized databases of wound images and treatment protocols is streamlining care delivery and improving clinical decision-making. As clinics seek to differentiate themselves through technology-enabled services, the adoption of AI-driven wound assessment platforms is poised to accelerate significantly over the forecast horizon.

Long-term care facilities, such as nursing homes and rehabilitation centers, face unique challenges in managing chronic and complex wounds among their resident populations. AI-powered remote wound assessment solutions offer a scalable, efficient approach to monitoring wound healing, reducing the burden on understaffed care teams, and minimizing the risk of complications. These platforms facilitate regular wound assessments, automated documentation, and remote consultations with wound care specialists, enhancing the quality of care for vulnerable populations. The growing emphasis on value-based care and regulatory requirements for wound care documentation are further driving adoption in this segment, with long-term care facilities increasingly viewing AI-powered tools as essential infrastructure rather than optional enhancements.

Deployment Mode Analysis

The deployment mode segment of the AI-powered remote wound assessment market is classified into cloud-based and on-premises solutions. Cloud-based deployment has emerged as the strongly preferred model for most healthcare organizations in 2025 due to its scalability, cost-effectiveness, and ease of integration with existing health IT infrastructure. Cloud-based platforms enable real-time data sharing, remote access to wound images and analytics, and seamless collaboration among care teams across multiple locations. The ability to leverage cloud infrastructure for AI model training and updates ensures that users benefit from the latest advancements in wound assessment algorithms without the need for extensive IT investments. As healthcare systems increasingly adopt cloud-first strategies, the cloud-based segment is expected to maintain its dominance throughout the 2026-2034 forecast period.

On-premises deployment, while less prevalent than cloud-based solutions, remains an important option for healthcare providers with stringent data security and regulatory requirements. On-premises platforms offer greater control over data storage, access, and system customization, making them suitable for large hospitals, academic medical centers, and government healthcare institutions. These organizations often require robust IT infrastructure and dedicated support teams to manage system maintenance, updates, and compliance with local data protection laws. The on-premises segment is expected to witness steady growth, particularly in regions with strict data sovereignty regulations or limited cloud infrastructure, such as parts of Asia Pacific and the Middle East and Africa.

The choice between cloud-based and on-premises deployment is influenced by factors such as organizational size, IT capabilities, regulatory environment, and budget constraints. Many vendors are adopting a hybrid approach, offering flexible deployment options that allow healthcare providers to balance the benefits of cloud scalability with the security and control of on-premises systems. The ability to seamlessly migrate between deployment models as organizational needs evolve is becoming a key differentiator for solution providers in this competitive market, and hybrid architectures are expected to account for a growing share of new deployments from 2026 onward.

Interoperability and data integration are critical considerations for both deployment modes in 2025. Healthcare organizations are seeking solutions that can seamlessly integrate with existing EHRs, telehealth platforms, and other digital health tools to create a unified patient record and support coordinated care. Vendors are investing in open APIs, standardized data formats, and compliance with interoperability standards such as HL7 FHIR to facilitate seamless data exchange and enhance the value proposition of their solutions. As the market matures through the forecast period, deployment flexibility and interoperability will remain central to driving adoption and maximizing the impact of AI-powered remote wound assessment technologies.

End-User Analysis

The end-user segment of the AI-powered remote wound assessment market includes healthcare providers, patients, payers, and others. Healthcare providers, encompassing hospitals, clinics, and wound care specialists, represent the largest end-user group in 2025, accounting for the majority of market revenue. These stakeholders rely on AI-powered solutions to enhance diagnostic accuracy, standardize wound assessments, and improve care coordination across multidisciplinary teams. The ability to remotely monitor wound healing, identify complications early, and optimize treatment plans is driving widespread adoption among healthcare providers seeking to improve patient outcomes and operational efficiency. Continuous improvement in AI model performance, supported by large and growing training datasets, is further strengthening provider confidence in these platforms.

Patients are increasingly becoming active participants in their own wound care, leveraging AI-powered remote assessment tools to monitor wound progress, receive personalized care recommendations, and communicate with their healthcare teams. The proliferation of user-friendly mobile applications and wearable devices has empowered patients to capture high-quality wound images, track healing trajectories, and access educational resources for self-management. This patient-centric approach is improving adherence to treatment plans, reducing the burden of frequent clinic visits, and enhancing overall satisfaction with the care experience. As consumer awareness and digital literacy continue to rise globally, the patient segment is expected to drive significant growth in the market throughout the forecast period, particularly in home healthcare and chronic disease management settings.

Payers, including insurance companies and government health agencies, are increasingly recognizing the value of AI-powered remote wound assessment in reducing healthcare costs, improving care quality, and supporting value-based reimbursement models. These stakeholders are incentivizing the adoption of remote monitoring solutions through updated reimbursement policies, pilot programs, and partnerships with healthcare providers. By enabling early intervention and reducing the incidence of costly complications, AI-driven wound assessment platforms are aligning with payer objectives to optimize resource utilization and enhance population health outcomes. The growing emphasis on outcome-based reimbursement across North America and Europe is expected to meaningfully accelerate adoption among both public and private payers over the 2026-2034 forecast horizon.

Other end-users, such as research institutions, academic medical centers, and pharmaceutical companies, are leveraging AI-powered wound assessment solutions for clinical research, product development, and clinical trials. These stakeholders benefit from the ability to collect standardized, high-quality wound data at scale, supporting the development of new therapies, medical devices, and evidence-based care protocols. The integration of AI-driven wound assessment into research workflows is accelerating innovation and expanding the market's reach beyond traditional clinical settings. Pharmaceutical and medical device companies are particularly active in partnering with AI wound assessment vendors to support clinical trial endpoints and post-market surveillance programs.

Opportunities & Threats

The AI-powered remote wound assessment market presents significant opportunities for innovation and growth through the 2026-2034 forecast period. One major opportunity lies in the integration of AI with emerging technologies such as augmented reality, virtual reality, and wearable sensors. These advancements have the potential to further enhance wound visualization, automate complex measurements, and provide immersive training for healthcare professionals. The expansion of 5G networks and IoT infrastructure is enabling real-time data transmission and remote collaboration, opening new possibilities for telemedicine and remote wound care in underserved regions. Additionally, the growing focus on personalized medicine and precision health is driving demand for AI-powered solutions that can tailor wound care interventions to individual patient needs, improving outcomes and reducing health disparities. The rapid advancement of AI capabilities in adjacent fields, such as the development of AI-driven tele-dermatoscopes for skin lesion analysis, is generating transferable innovations that are directly enhancing wound assessment algorithm accuracy.

Another key opportunity is the expansion of AI-powered remote wound assessment into emerging markets, particularly in Asia Pacific, Latin America, and Africa. These regions are experiencing rapid healthcare digitization, rising chronic disease prevalence, and increasing investments in telehealth infrastructure. By offering scalable, cost-effective solutions that address local healthcare challenges, vendors can tap into large, underserved patient populations and drive market expansion. Strategic partnerships with local healthcare providers, governments, and non-governmental organizations will be critical to navigating regulatory complexities and building trust among end-users. The development of multilingual, culturally sensitive AI platforms will further enhance market penetration and ensure equitable access to advanced wound care across diverse populations.

Despite these opportunities, the market faces several restraining factors, the most significant of which is data privacy and security concerns. The collection, storage, and transmission of sensitive patient data through AI-powered platforms raise important ethical and regulatory considerations. Healthcare organizations must ensure compliance with data protection laws such as HIPAA, GDPR, and regional regulations, which can vary significantly across jurisdictions. Cybersecurity threats, including data breaches and ransomware attacks, pose significant risks to patient safety and organizational reputation. Addressing these challenges requires robust security protocols, regular risk assessments, and ongoing user education to build trust and safeguard patient data. Additional challenges include the need for rigorous clinical validation of AI algorithms, achieving regulatory clearance in multiple markets, and overcoming clinician skepticism toward AI-generated assessments. Vendors that prioritize data privacy, security, and transparent clinical evidence will be best positioned to sustain long-term market leadership.

Regional Outlook

North America dominates the global AI-powered remote wound assessment market, accounting for approximately USD 620 million in revenue in 2025, representing roughly 39.5% of the global market. The region's leadership is underpinned by advanced healthcare infrastructure, widespread adoption of digital health technologies, and favorable reimbursement policies that support telehealth and remote monitoring. The United States is the primary contributor, with strong investments in AI research, high prevalence of chronic wounds, and a robust ecosystem of technology startups and established healthcare organizations. Canada is also witnessing significant growth, driven by government initiatives to enhance rural healthcare access and promote digital health innovation. Regulatory support from the FDA for AI-enabled medical devices continues to streamline product approvals and encourage market entry.

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Europe follows as the second-largest market, with a market size of approximately USD 389 million in 2025, representing around 24.8% of global revenue, and a projected CAGR of 21.3% through 2034. The region benefits from a well-established healthcare system, strong regulatory frameworks, and a growing focus on value-based care. Countries such as Germany, the United Kingdom, and France are leading adopters of AI-powered wound assessment solutions, supported by government funding for digital health initiatives and increasing awareness of the benefits of remote monitoring. The European Union's emphasis on data protection and interoperability is driving the development of secure, standardized AI platforms that can be deployed across diverse healthcare settings throughout the continent.

The Asia Pacific region is emerging as the highest-growth market, with a market size of approximately USD 341 million in 2025, representing 21.7% of global revenue, and a projected CAGR exceeding 25% through 2034. Rapid urbanization, rising chronic disease prevalence, and expanding telehealth infrastructure are key drivers of market growth in countries such as China, India, Japan, and Australia. Government initiatives to improve rural healthcare access and promote digital health innovation are further accelerating adoption. The region's large, diverse patient population presents significant opportunities for vendors to tailor AI-powered solutions to local needs and expand their global footprint. Latin America accounts for approximately 8.2% of the global market in 2025, while the Middle East and Africa represent 5.8%, with both regions expected to witness steady growth as healthcare digitization efforts gain momentum and awareness of advanced wound care solutions increases among providers and payers.

Competitor Outlook

The AI-powered remote wound assessment market in 2025 is characterized by intense competition, with a mix of established healthcare technology companies, innovative startups, and diversified medical device firms vying for market share. The competitive landscape is shaped by ongoing technological advancements, strategic partnerships, and a relentless focus on improving clinical outcomes and user experience. Market leaders are differentiating themselves through robust AI algorithms, seamless integration with existing health IT systems, and comprehensive support services. The ability to deliver scalable, interoperable solutions that address the diverse needs of healthcare providers, patients, and payers is a key determinant of success in this dynamic market. Clinical validation through peer-reviewed studies and regulatory clearances is increasingly becoming a baseline expectation among hospital procurement teams.

Strategic collaborations and partnerships are playing a pivotal role in driving innovation and expanding market reach. Leading companies are partnering with hospitals, telehealth providers, and research institutions to co-develop and pilot new AI-powered wound assessment platforms. These collaborations enable vendors to validate their solutions in real-world clinical settings, gather valuable user feedback, and accelerate product development cycles. Additionally, partnerships with hardware manufacturers and cloud service providers are enhancing the interoperability and scalability of AI-powered platforms, making them more accessible to a broad range of end-users. The growing importance of remote patient monitoring across care continuums is also driving integrations with broader AI-powered remote vital sign monitoring platforms, creating more comprehensive virtual care ecosystems.

The market is also witnessing continued merger and acquisition activity, as larger healthcare technology firms and established wound care product companies seek to expand their AI capabilities and enter new market segments. These transactions are enabling companies to broaden their product portfolios, access new customer bases, and strengthen their competitive positioning. At the same time, startups and niche players are driving innovation by developing specialized AI algorithms for specific wound types, patient populations, or care settings. The continued influx of venture capital and government funding is supporting the growth of emerging players, fostering a vibrant, competitive ecosystem that benefits end-users through accelerating innovation and competitive pricing.

Some of the major companies operating in the AI-powered remote wound assessment market include Swift Medical Inc., Tissue Analytics (Net Health), WoundVision, Healthy.io, eKare Inc., Spectral MD, MolecuLight Inc., Pixalere Healthcare Inc., Intellicure Inc., DermaSensor Inc., Digital Diagnostics Inc., Smith and Nephew plc, Molnlycke Health Care, and Coloplast A/S. Swift Medical Inc. is renowned for its advanced wound imaging and analytics platform, which leverages AI to provide objective, standardized wound assessments across care settings. WoundVision offers thermal imaging and AI-driven wound management solutions, while Healthy.io specializes in smartphone-based wound assessment and remote patient monitoring. Tissue Analytics, integrated within the Net Health ecosystem, provides cloud-based wound care analytics platforms that connect seamlessly with EHRs. eKare Inc. is recognized for its 3D wound imaging technology and AI-powered measurement tools. Established wound care product leaders such as Smith and Nephew, Molnlycke Health Care, and Coloplast are increasingly embedding AI-powered digital assessment capabilities into their broader wound management ecosystems, reflecting the convergence of traditional wound care and digital health markets.

These companies are investing heavily in research and development to enhance the accuracy, reliability, and usability of their AI-powered wound assessment solutions. They are also expanding their geographic presence through partnerships, distribution agreements, and direct sales channels in high-growth markets. As the market continues to evolve through the 2026-2034 forecast period, the ability to deliver clinically validated, user-friendly, and secure AI platforms will be critical to achieving long-term success. Companies that prioritize interoperability, data privacy, continuous innovation, and transparent clinical evidence will be well-positioned to capture a greater share of the rapidly growing global AI-powered remote wound assessment market.

Key Players

• Swift Medical Inc.
• Tissue Analytics (Net Health)
• WoundVision
• Healthy.io
• eKare Inc.
• Spectral MD
• MolecuLight Inc.
• Pixalere Healthcare Inc.
• Intellicure, Inc.
• DermaSensor Inc.
• WoundRight Technologies
• Digital Diagnostics Inc.
• Smith and Nephew plc
• Molnlycke Health Care
• Coloplast A/S