AI醫療圖像解決方案市場報告：2030 年趨勢、預測與競爭分析

支援人工智慧的醫療圖像解決方案的趨勢和預測

預計到 2030 年，全球人工智慧醫療圖像解決方案市場將達到 57 億美元，2024 年至 2030 年複合年成長率為 15.4%。該市場的主要促進因素是人們對慢性病早期診斷的認知不斷提高、政府加大採用人工智慧技術的舉措以及醫療保健行業的持續技術進步。全球人工智慧醫療圖像解決方案市場的未來看起來充滿希望，專業和普通成像市場也充滿機會。

• Lucintel 預測，在醫療器材類別中，X 光預計將在預測期內達到最高成長。
• 從應用來看，專業影像仍然是最大的部分。
• 從地區來看，由於先進醫療技術的日益採用和主要市場參與者的存在，預計北美在預測期內仍將是最大的地區。

人工智慧醫療圖像解決方案市場的策略性成長機會

人工智慧醫療圖像中的約束洩漏具有地理分佈。這顯示人工智慧醫療圖像解決方案市場有大量機會滲透到不同的應用領域。這些機會反映了人工智慧技術在醫療保健領域日益成長的影響力以及這些技術可以解決的醫學影像領域的具體差距。

• 基於人工智慧的診斷解決方案：開發人工智慧輔助診斷設備的機會正在出現，這些設備可以改善影像解釋並指導決策。在醫療保健領域對更好的服務提供的需求不斷增加的情況下，此類解決方案有可能提高診斷品質並減輕放射科醫生的負擔。
• 遠端成像服務：在遠端醫療時代，遠端成像解決方案解決了很大程度上開拓的市場。透過人工智慧，可以輕鬆解讀遠距離拍攝的影像，從而改善醫療服務並增加無需親自前往醫療機構即可治療患者的可能性。
• 與健康資訊系統 (HIS) 的連接：將人工智慧支援的影像處理系統納入 HIS 可以改善工作流程和服務交付品質。這種整合促進了資訊共用並提高了監控患者治療和病歷的能力。
• 精準醫療中的人工智慧：因此，為患者量身定做的醫療變得實用化和可用。將軟體應用於診斷影像技術和患者資料的技術分析可以實現每位患者的個人化治療並提高醫療保健效率。
• 推動即時影像診斷的發展：透過創建可進行即時視訊影像調查的AI工具，可以實現更準確、更有效率的管理。這些進步對於外科和創傷學至關重要，因為有效的患者照護需要快速評估。

確定的發展領域有助於定義人工智慧醫療圖像解決方案的未來，產生創新並增強各領域的醫療保健服務交付。

人工智慧醫療圖像解決方案市場的促進因素與挑戰

各種因素正在推動人工智慧醫療圖像解決方案市場的發展，同時也帶來了挑戰。這些因素包括技術發展、經濟困難和影響市場的法律政策。這些因素將決定醫學影像處理系統的人工智慧組件如何開發和實施，最終塑造未來的診斷和治療醫療系統。

推動人工智慧醫療圖像解決方案市場的因素包括：

• 技術進步：主要驅動力是人工智慧和機器學習技術的改進，可以實現更準確、更快速的影像分析。這些技術增強了診斷過程並簡化了醫學影像體驗，提高了患者滿意度並促進了人工智慧解決方案的使用。
• 對可靠診斷的需求不斷增加：開發及時、準確的診斷設備的壓力越來越大。人工智慧診斷影像系統屬於此類別，因為它們支援有效的診斷並降低誤診的風險。
• 新的醫療保健產業創新資金籌措：政府和私營部門增加對創新醫療保健解決方案的資助將支持更好、更先進的人工智慧影像處理系統的開發。這筆資金支持將加速醫學影像的研發和新技術的引進。
• 與其他醫療保健技術整合：一些人工智慧影像解決方案遠端醫療服務和電子健康記錄(EHR)。這種整合改善了資訊流，最大限度地減少診斷錯誤並改善患者照護。
• 醫療資料量不斷增加：各種資訊來源的醫療資料量不斷增加，為人工智慧的訓練提供了堅實的基礎。大型且多樣化的資料集對於提高自動成像系統的功能和準確性以及增強其利用率和開發至關重要。

人工智慧醫療圖像解決方案市場面臨的挑戰包括：

• 資料隱私和安全問題：醫學影像資料的敏感度使得資料隱私和安全成為一個關鍵問題。為了加速人工智慧解決方案的使用，必須優先考慮法規遵循和患者資訊保護。
• 開發成本高：研究、開發和部署人工智慧成像解決方案的相關成本是一個障礙。這些成本包括研發、技術整合和基礎設施開發，這對於某些醫療保健系統來說可能無法負擔。
• 法律和道德挑戰：遵守法律規範和審查醫療設備法規非常複雜。地區監管差異可能會阻礙人工智慧技術在醫學影像處理領域的核准和使用，從而阻礙市場成長。

目錄

第1章執行摘要

第2章全球人工智慧醫療圖像解決方案市場：市場動態

• 簡介、背景、分類
• 供應鏈
• 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

• 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
• 全球人工智慧醫療圖像解決方案市場趨勢（2018-2023）和預測（2024-2030）
• 按模式分類的人工智慧醫療圖像解決方案的全球市場
  • 電腦斷層掃描 (CT)
  • 磁振造影 (MR)
  • X光
  • 超音波
  • 乳房X光照相術
  • 多重模式成像系統
  • 其他
• 按產品分類的人工智慧醫療圖像解決方案的全球市場
  • 軟體
  • 硬體
• 按應用分類的人工智慧醫療圖像解決方案的全球市場
  • 特別形象
  • 常見影像

第4章 2018-2030年區域市場趨勢及預測分析

• 按地區分類的人工智慧醫療圖像解決方案市場
• 北美人工智慧醫療圖像解決方案市場
• 歐洲人工智慧醫療圖像解決方案市場
• 亞太地區人工智慧醫療圖像解決方案市場
• 其他地區人工智慧醫療圖像解決方案市場

第5章 競爭分析

• 產品系列分析
• 營運整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 全球人工智慧醫療圖像解決方案市場成長機會（按模式）
  • 全球人工智慧醫療圖像解決方案市場成長機會（按產品）
  • 全球人工智慧醫療圖像解決方案市場成長機會（按應用）
  • 全球人工智慧醫療圖像解決方案市場成長機會（按地區）
• 全球人工智慧醫療圖像解決方案市場的新興趨勢
• 戰略分析
  • 新產品開發
  • 全球人工智慧醫療圖像解決方案市場的產能擴張
  • 全球人工智慧醫療圖像解決方案市場的合併、收購和合資企業
  • 認證和許可

第7章主要企業概況

• Agfa-Gevaert Group
• Aidoc
• Blackford Analysis
• Butterfly Network
• Canon
• Caption Health
• Carestream Health

AI-Enabled Medical Imaging Solutions Trends and Forecast

The future of the global AI-enabled medical imaging solutions market looks promising with opportunities in the specialty imaging and general imaging markets. The global AI-enabled medical imaging solutions market is expected to reach an estimated $5.7 billion by 2030 with a CAGR of 15.4% from 2024 to 2030. The major drivers for this market are the growing awareness regarding early diagnosis of chronic disorders, increasing government initiatives towards the adoption of AI-based technologies, and ongoing technological advancements in the healthcare industry.

• Lucintel forecasts that, within the modality category, X-ray segment is expected to witness the highest growth over the forecast period.
• Within the application category, specialty imaging will remain the largest segment.
• In terms of regions, North America will remain the largest region over the forecast period due to growing adoption of advanced healthcare technology and presence of large market players in the region.

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Emerging Trends in the AI-Enabled Medical Imaging Solutions Market

The landscape for AI-enabled medical imaging solutions is changing, and new trends are emerging. These trends display the widening use of AI technologies and their enhanced sophistication.

• Integration with Machinery: When it comes to imaging and surgery, AI is increasingly fused with various robotic machines. This combination increases accuracy and decreases human error, resulting in better patient care and enhanced streamlining of processes.
• Demand for Remote Imaging: Telemedicine has spurred interest in remote imaging solutions. Imaging activities become more efficient with the use of AI techniques, allowing images to be studied from any distance, thus changing perceptions about inaccessible health services, which usually make it difficult to manage chronic conditions.
• Development of Customized Imaging Market Solutions: With the emergence of AI, tuning various imaging modality features learned from patient data demographics becomes possible. This improves the quality of diagnosis and planning for both non-surgical and surgical interventions, ensuring that all patients receive the most appropriate treatment.
• On-Demand Image Analysis: Real-time image interpretation is now touted as the latest milestone in AI-based developments. Instead of conducting imaging procedures and awaiting results, patients receive diagnoses during different operations. This enhances operational effectiveness and patient-centeredness, which is vital for avoiding poor surgical outcomes or emergency care.
• Enhanced Data Security: With the growing application of AI in medical imaging, data protection and confidentiality are becoming increasingly paramount. AI solutions are designed with greater security features and integrations to ensure that sensitive patient information is safeguarded and compliant with the law.

These trends are transforming the AI-enabled medical imaging solutions industry by spurring the growth of new solutions that improve healthcare delivery, enhance the patient experience, and address emerging problems within the healthcare system.

Recent Developments in the AI-Enabled Medical Imaging Solutions Market

The AI-enabled medical imaging solutions have also seen significant changes that are reshaping healthcare diagnosis and treatment in the solutions market. These changes show that developments are incorporating artificial intelligence technology into medical imaging.

• Advanced AI Algorithms: Recently, one of the key accomplishments is the introduction of advanced AI algorithms that play a role in improving image analysis. Specifically, these algorithms are very effective in enhancing images and assisting radiologists with more accurate diagnostic aid, reducing diagnosis errors and improving diagnostic performance.
• FDA Approvals for AI Tools: Recent developments include the introduction of new AI-based tools that are now accepted for use by the FDA. Such approvals enhance confidence in the use of AI technologies and promote the integration of such technologies into medical practice.
• Inclusion of AI in Imaging Devices: The use of artificial intelligence integrated into most imaging devices is gaining traction. This integration enables the assessment of images as they are captured and provides a diagnosis immediately, thus optimizing workflows and enhancing results.
• Use of AI in Early Disease Detection: AI technologies are increasingly deployed in the healthcare environment for the early detection of ailments, such as cancer and cardiovascular diseases. This development allows for prompt treatment and management of diseases, increasing the chances of good clinical outcomes and reducing the financial burden on healthcare systems.
• Growth of AI Development in Medicine: There are strong market trends for increased expenditures on AI development in imaging. Additionally, synergies between technology companies and healthcare systems lead to the advancement of AI methods in analysis, propelling current imaging technology forward.

These developments improve the functionality of AI-based medical imaging products, resulting in higher diagnostic success rates and transforming clinical practices.

Strategic Growth Opportunities for AI-Enabled Medical Imaging Solutions Market

There is a geographic distribution of AI-enabled medical imaging constraints Leakage. This indicates that the AI-enabled medical imaging solutions market has numerous opportunities for penetration in diverse usages. Such opportunities reflect the growing influence of AI technologies in healthcare and the specific gaps in medical imaging that these technologies can address.

• AI-Based Diagnostic Solutions: There is an emerging opportunity to create AI-aided diagnostic instruments that improve the quality of imaging interpretation and guide decision-making. These solutions may enhance diagnosis quality and lessen the burden on radiologists at a time when there is an increasing demand for better service delivery in healthcare.
• Teleimaging Services: In the era of telehealth, teleimaging solutions address a largely untapped market. With AI, it is easier to interpret images taken from a distance, thus improving healthcare services and increasing the chances of treating patients without physically visiting a healthcare institution.
• Connection with Health Information Systems (HIS): Incorporating AI-supported imaging systems within HIS can enhance workflow processes and the quality of service delivery. This integration makes it easy to share information and improves the capacity to monitor patient treatment and history.
• AI in Precision Medicine: As a result, medicine tailored to patients is becoming practical and available. The software can be applied in imaging techniques and the technological analysis of patient data to frame procedures specific to each patient, thus improving healthcare efficiency.
• Propagation of Developments in Real-Time Imaging: More accurate and efficient administrations can be achieved by creating AI tools capable of performing live video imaging investigations. Such advancements are crucial in surgeries and traumatology, where rapid assessments are necessary for effective patient care.

The identified areas of development are helping define the future of AI-enabled medical imaging solutions, generate innovations, and enhance health service provision across a wide range of areas.

AI-Enabled Medical Imaging Solutions Market Driver and Challenges

Different factors drive the market for AI-enabled medical imaging solutions while also presenting challenges. Such factors include technological growth, economic hardship, and legal policies that affect the market. These factors define how the AI components of medical imaging systems will be developed and implemented, ultimately shaping future health systems of diagnosis and therapy.

The factors driving the AI-enabled medical imaging solutions market include:

• Technological Advancements: A primary driver is the improvement of AI and machine learning technologies, which allow for more precise and quicker image analysis. These technologies enhance diagnostic processes and streamline the medical imaging experience, increasing patient satisfaction and promoting the use of AI solutions.
• Growing Demand for Reliable Diagnosis: The pressure for developing diagnostic instruments that are both timely and precise is mounting. AI imaging systems fit into this category as they assist in effective diagnosis and reduce the risks of misdiagnosis.
• Emerging Healthcare Sector Funding for Innovation: Increased funding from government and private sectors for innovative healthcare solutions aids in creating improved and advanced AI imaging systems. This funding accelerates research, development, and the introduction of new technologies in medical imaging.
• Integration with Other Healthcare Technologies: Some AI imaging solutions can now be used alongside other technologies, including telehealth services and electronic health records (EHRs). This integration allows for better information flow, minimizes diagnostic errors, and enhances patient care.
• Expansion of Healthcare Data Volume: The increasing volume of healthcare data from various sources provides a solid foundation for training AIs. Large and diverse datasets are essential for improving the capabilities and accuracy of automated imaging systems, thus enhancing their use and development.

Challenges in the AI-enabled medical imaging solutions market include:

• Concerns About Data Privacy and Security: Medical imaging data can be sensitive, making data privacy and security significant challenges. Regulatory compliance and patient information protection must be prioritized to facilitate the use of AI solutions.
• High Development Costs: The costs associated with research, development, and implementation of AI-augmented imaging solutions pose barriers. These costs include research and development, technological integration, and infrastructure, which some healthcare systems may find unaffordable.
• Legal and Ethical Challenges: Complying with regulatory frameworks and the scrutiny of medical device regulations is cumbersome. Differences in regulations across geographical areas can hinder the approval and use of AI technologies in medical imaging, stifling market growth.

The drivers and challenges in the AI-enabled medical imaging solutions market depict a changing environment influenced by technology, regulatory landscapes, and economic pressures. These drivers should be leveraged while addressing the challenges to ensure sustainable growth in AI use within medical imaging.

List of AI-Enabled Medical Imaging Solutions Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI-enabled medical imaging solutions companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-enabled medical imaging solutions companies profiled in this report include-

• Agfa-Gevaert Group
• Aidoc
• Blackford Analysis
• Butterfly Network
• Canon
• Caption Health
• Carestream Health

AI-Enabled Medical Imaging Solutions by Segment

The study includes a forecast for the global AI-enabled medical imaging solutions by modality, product, application, and region.

AI-Enabled Medical Imaging Solutions Market by Modality [Analysis by Value from 2018 to 2030]:

• Computed Tomography (CT)
• Magnetic Resonance (MR)
• X-Ray
• Ultrasound
• Mammography
• Multimodality Imaging Systems
• Others

AI-Enabled Medical Imaging Solutions Market by Product [Analysis by Value from 2018 to 2030]:

• Software
• Hardware

AI-Enabled Medical Imaging Solutions Market by Application [Analysis by Value from 2018 to 2030]:

• Specialty Imaging
• General Imaging

AI-Enabled Medical Imaging Solutions Market by Region [Analysis by Value from 2018 to 2030]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI-Enabled Medical Imaging Solutions Market

The AI-enabled medical imaging solutions industry has significantly expanded in major global markets due to technological factors such as emerging artificial intelligence technologies in healthcare. These developments highlight the increasing incorporation of AI into solution systems to enhance diagnostic efficacy, streamline workflow management, and improve overall patient care quality. Here are some recent developments in this area, particularly in the United States, China, Germany, India, and Japan.

• United States: In the U.S., recent developments by the FDA have facilitated the introduction of new AI-powered imaging technologies for assessing diseases such as breast and eye conditions. Large technology companies and healthcare corporations are investing heavily in AI research, particularly in image enhancement and imaging analytics. Tech-health initiatives are spreading, with healthcare scholars teaming up with technology corporations.
• China: China has made significant achievements, primarily driven by government support for AI activities, particularly the integration of AI in medical imaging. Recently, novel AI algorithms have been developed to facilitate earlier disease detection and enhance imaging analysis. Chinese companies are also utilizing AI solutions in hospices, supported by newly established AI and scientific research labs, thus improving the accuracy and efficiency of health systems throughout China.
• Germany: The presence of prominent healthcare research institutions and partnerships with tech companies has propelled the development of German AI in mobile imaging solutions. AI features for medical images are becoming integral to clinical settings, enhancing patient care through improved imaging and diagnosis. German companies are employing AI algorithms to enhance imaging and processing, benefiting from the country's well-established healthcare system.
• India: In India, the adoption of AI in medical imaging is rapidly growing, with numerous startups and research organizations developing various applications. Recent innovations include AI-based diagnostics and tele imaging focused on improving early disease detection and healthcare accessibility. Both national and local governments, along with the private sector, are investing in AI to enhance imaging processes and healthcare across the country.
• Japan: Japan is leveraging its existing technological infrastructure to advance its AI-enabled medical imaging technologies. AI systems for real-time image analysis and integration with surgical robotics have recently emerged. Many of these initiatives involve collaborations with foreign partners aimed at developing and deploying AI technologies for healthcare diagnosis and management.

Features of the Global AI-Enabled Medical Imaging Solutions Market

Market Size Estimates: Ai-enabled medical imaging solutions market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Ai-enabled medical imaging solutions market size by various segments, such as by product, application, and region in terms of value ($B).

Regional Analysis: Ai-enabled medical imaging solutions market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different products, applications, and regions for the AI-enabled medical imaging solutions market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-enabled medical imaging solutions market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the AI-enabled medical imaging solutions market by modality (computed tomography (CT), magnetic resonance (MR), X-ray, ultrasound, mammography, multimodality imaging systems, and others), product (software and hardware), application (specialty imaging and general imaging)and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global AI-Enabled Medical Imaging Solutions Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

• 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
• 3.2. Global AI-Enabled Medical Imaging Solutions Market Trends (2018-2023) and Forecast (2024-2030)
• 3.3: Global AI-Enabled Medical Imaging Solutions Market by Modality
  • 3.3.1: Computed Tomography (CT)
  • 3.3.2: Magnetic Resonance (MR)
  • 3.3.3: X-Ray
  • 3.3.4: Ultrasound
  • 3.3.5: Mammography
  • 3.3.6: Multimodality Imaging Systems
  • 3.3.7: Others
• 3.4: Global AI-Enabled Medical Imaging Solutions Market by Product
  • 3.4.1: Software
  • 3.4.2: Hardware
• 3.5: Global AI-Enabled Medical Imaging Solutions Market by Application
  • 3.5.1: Specialty Imaging
  • 3.5.2: General Imaging

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

• 4.1: Global AI-Enabled Medical Imaging Solutions Market by Region
• 4.2: North American AI-Enabled Medical Imaging Solutions Market
  • 4.2.1: North American AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.2.2: North American AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.3: European AI-Enabled Medical Imaging Solutions Market
  • 4.3.1: European AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.3.2: European AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.4: APAC AI-Enabled Medical Imaging Solutions Market
  • 4.4.1: APAC AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.4.2: APAC AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging
• 4.5: ROW AI-Enabled Medical Imaging Solutions Market
  • 4.5.1: ROW AI-Enabled Medical Imaging Solutions Market by Modality: Computed Tomography, Magnetic Resonance, X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, and Others
  • 4.5.2: ROW AI-Enabled Medical Imaging Solutions Market by Application: Specialty Imaging and General Imaging

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Modality
  • 6.1.2: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Product
  • 6.1.3: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Application
  • 6.1.4: Growth Opportunities for the Global AI-Enabled Medical Imaging Solutions Market by Region
• 6.2: Emerging Trends in the Global AI-Enabled Medical Imaging Solutions Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global AI-Enabled Medical Imaging Solutions Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI-Enabled Medical Imaging Solutions Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Agfa-Gevaert Group
• 7.2: Aidoc
• 7.3: Blackford Analysis
• 7.4: Butterfly Network
• 7.5: Canon
• 7.6: Caption Health
• 7.7: Carestream Health