Smart Teleradiology Market by Modality (CT, MRI, PET), Delivery Mode (Cloud Based, On Premise, Web Based), Application, End User - Global Forecast 2025-2032
Description
The Smart Teleradiology Market was valued at USD 4.73 billion in 2024 and is projected to grow to USD 5.28 billion in 2025, with a CAGR of 11.45%, reaching USD 11.28 billion by 2032.
An authoritative framing of how converging imaging technologies, digital infrastructure, and clinical demand are redefining teleradiology workflows and strategic priorities
The teleradiology landscape is at a pivotal inflection where imaging technology, digital infrastructure, and clinical demand converge to create new operational paradigms. Healthcare providers are increasingly relying on remote diagnostic workflows to extend access to subspecialist expertise, address uneven radiologist distribution, and maintain continuity of care across geographic and temporal boundaries. At the same time, advances in imaging modalities and AI-enabled image interpretation are elevating the diagnostic value chain and shifting expectations for turnaround time, report quality, and integration with electronic health records.
Consequently, stakeholders including device manufacturers, software vendors, payers, and provider networks must re-evaluate procurement strategies, reimbursement pathways, and integration roadmaps. This introduction sets the stage for a focused examination of how technology adoption, regulatory dynamics, and supply chain considerations collectively shape operational decision-making. By outlining the forces that drive demand and the capabilities required to meet it, this section prepares leaders to interpret subsequent analyses and translate findings into practical actions for improving clinical outcomes and organizational efficiency.
A clear synthesis of the technological, organizational, and regulatory shifts that are reshaping teleradiology service delivery and vendor strategies
Teleradiology is undergoing transformative shifts driven by three interlinked vectors: technological maturation, organizational adoption, and evolving regulatory expectations. Technological maturation includes the integration of cloud-native architectures, the emergence of federated learning and privacy-preserving AI, and improvements in image acquisition such as spectral CT and ultralow-field MRI. These advances are expanding the scope of remote diagnostics beyond simple image transfer to analytic augmentation, workflow orchestration, and cross-institutional visual data exchange.
Organizational adoption is accelerating as healthcare systems prioritize scalability, resilience, and continuity of specialist services. As a result, on-premise legacy platforms are increasingly hybridized with cloud and web-based delivery models to balance security with accessibility. Concurrently, regulators and accreditation bodies are clarifying telehealth standards and data protection expectations, which compels vendors and providers to invest in compliance and auditability. Taken together, these shifts not only influence vendor selection and capital planning but also alter clinical pathways, enabling new models of care where radiology transforms from a siloed diagnostic function into a real-time consultative service integrated across the patient journey.
An evidence-driven assessment of how 2025 United States tariffs recalibrate supply chains, procurement practices, and strategic sourcing across the teleradiology ecosystem
The cumulative implications of tariffs and trade measures originating from the United States in 2025 extend beyond immediate cost adjustments to influence supply chain architecture, procurement timing, and supplier selection worldwide. Increased duties on imaging components, semiconductors, or specialized materials typically raise input costs for vendors, which may be passed downstream as higher capital expenditures for health systems. In response, suppliers often reconfigure sourcing strategies, diversifying manufacturing footprints or shifting to regional suppliers to mitigate exposure to tariff volatility.
Moreover, tariffs can lengthen procurement lead times and complicate warranty and service models when spare parts cross multiple customs regimes. For purchasers, this translates into a need for more robust total cost of ownership assessments that account for import duties, logistics complexity, and potential delays in equipment refresh cycles. In parallel, providers and vendors may accelerate investments in local partnerships, aftermarket service networks, and modular solutions to preserve resilience. Ultimately, while tariffs tend to be framed as pricing pressures, their broader effect is to incentivize structural changes in supply chains, procurement processes, and strategic sourcing that persist beyond immediate fiscal impacts.
A layered segmentation framework revealing how modality, delivery mode, application, and end-user distinctions drive differentiated adoption and procurement dynamics
Segmentation analysis reveals how modality, delivery mode, application, and end-user dynamics interact to shape adoption patterns and investment priorities in teleradiology. Based on Modality, market study spans CT, MRI, PET, Ultrasound, and X-Ray, with CT further examined across Conventional CT, Mobile CT, and Spectral CT; MRI further decomposed into High-Field MRI and Ultralow-Field MRI; PET analyzed across Cardiology, Neurology, and Oncology; Ultrasound differentiated between Three D And Four D Imaging and Two D Imaging; and X-Ray assessed across Computed Radiography, Digital Radiography, and Fluoroscopy. These modality distinctions matter because they determine bandwidth needs, image data complexity, and the extent of AI augmentation required for clinical decision support.
In addition, delivery mode analysis considers Cloud Based, On Premise, and Web Based implementations, each presenting distinct trade-offs between scalability, control, and compliance burden. Application segmentation evaluates PACS, RIS, and VNA, with PACS subdivided into Enterprise PACS and Modular PACS, RIS covering Order Management and Scheduling, and VNA distinguishing Clinical VNA and Enterprise VNA. Finally, end-user segmentation encompasses Clinics, Diagnostic Center, and Hospitals, with each setting exhibiting different workflow complexity, capital intensity, and integration requirements. Together, these layered segmentations inform product roadmaps, go-to-market targeting, and differentiated service models that align technical capability with clinical need.
A nuanced regional perspective that connects infrastructure maturity, regulatory regimes, and provider models to targeted teleradiology deployment strategies across major global regions
Regional dynamics exert significant influence on teleradiology deployment strategies, reimbursement frameworks, and vendor positioning. In the Americas, adoption is often shaped by consolidated health systems, aggressive private-provider networks, and a focus on enterprise-scale interoperability, which drives demand for integrated PACS, RIS, and VNA solutions that support cross-facility workflows. Conversely, Europe, Middle East & Africa present a diverse regulatory landscape where data localization, cross-border care, and variable infrastructure maturity require flexible delivery models and strong compliance capabilities.
Asia-Pacific combines high-growth urban centers with rapidly evolving healthcare infrastructure, creating demand for mobile imaging, cloud-enabled platforms, and cost-sensitive solutions that can scale across heterogeneous provider types. Each region thus demands tailored commercialization approaches: Americas often prioritize enterprise integration and subspecialty services, Europe, Middle East & Africa require robust privacy and multi-jurisdictional compliance, and Asia-Pacific emphasizes affordability, rapid deployment, and adaptability to mixed urban and rural clinical environments. These regional distinctions guide where vendors focus product investments, partnership models, and service delivery innovations.
A strategic overview of vendor behavior highlighting platform consolidation, modality specialization, and partnership-driven go-to-market strategies shaping competitive dynamics
Competitive behavior within the teleradiology ecosystem is characterized by platform consolidation, vertical integration, and strategic partnerships that expand clinical reach and service offerings. Vendors are increasingly bundling imaging modalities with cloud-based analytics and workflow orchestration to offer end-to-end solutions that reduce integration friction for health systems. At the same time, niche suppliers specialize in advanced modality support such as spectral CT and ultralow-field MRI, positioning themselves as technology leaders for specific clinical use cases.
Partnerships between imaging equipment manufacturers, software platform providers, and service organizations are also common, enabling combined propositions that address capital procurement, implementation services, and ongoing clinical support. Meanwhile, third-party integrators focus on interoperability challenges, deploying connectors and middleware to bridge PACS, RIS, and VNA deployments across hybrid environments. In sum, companies that prioritize open architectures, regulatory compliance, and proven clinical workflows are better positioned to capture enterprise engagements and long-term service agreements.
Actionable recommendations for healthcare leaders to prioritize interoperability, hybrid delivery, supply chain resilience, and workforce enablement to future-proof teleradiology operations
Industry leaders should adopt an integrated approach that aligns technology selection with clinical workflow redesign and supplier resilience. First, prioritize interoperability by selecting systems built on open standards and APIs to reduce vendor lock-in and enable modular evolution of capabilities. This reduces integration risk and facilitates staged adoption of advanced analytics without disrupting core clinical operations. Second, invest in hybrid delivery architectures that combine on-premise controls for sensitive workloads with cloud-based scalability for analytics and remote reporting, thereby balancing security with operational flexibility.
Third, incorporate supply chain risk assessments into procurement decisions by evaluating regional manufacturing footprints, spare-parts availability, and tariff exposure to avoid unforeseen delays. Fourth, accelerate workforce enablement through targeted training and telecollaboration tools that support distributed radiologist networks and optimize utilization. Finally, pursue partnerships with modality specialists and system integrators to deploy high-value capabilities such as spectral CT interpretation or ultralow-field MRI workflows. Taken together, these actions enable organizations to improve diagnostic throughput, strengthen clinical governance, and enhance resilience against market disruptions.
A rigorous mixed-methods research approach combining primary stakeholder interviews, secondary technical synthesis, and scenario stress-testing to validate practical insights
The research behind this analysis combines primary and secondary methods to ensure robustness and practical relevance. Primary inputs include structured interviews with radiology leaders, IT officers, and procurement specialists, along with expert consultations with modality specialists and clinical informaticists. These engagements were designed to capture first-hand perspectives on operational challenges, adoption barriers, and real-world integration patterns across diverse provider settings.
Secondary research synthesized peer-reviewed literature, regulatory guidance, technical white papers, and vendor documentation to validate technological claims and map feature sets across product categories. Data synthesis applied thematic analysis to reconcile qualitative insights with documented evidence, while triangulation techniques were used to identify consistent patterns and divergent perspectives. Finally, findings were stress-tested through scenario analysis to examine implications under different supply chain and regulatory conditions, ensuring that conclusions remain actionable for decision-makers navigating complex procurement and implementation choices.
A conclusive synthesis emphasizing strategic alignment of technology, workflows, and supplier resilience to realize the full clinical and operational potential of teleradiology
The confluence of advanced imaging modalities, cloud-enabled delivery, and AI augmentation is redefining what remote radiology can deliver for clinicians and patients. As clinical demand rises and workforce constraints persist, organizations that embrace interoperable platforms, strategic supplier relationships, and hybrid architectures will be better positioned to capture efficiency gains and improve diagnostic quality. Moreover, regional and trade dynamics emphasize the need for adaptive procurement strategies that consider supply chain resilience and regulatory compliance as integral to total cost and service reliability.
In closing, leaders should view teleradiology evolution as an opportunity to remodel diagnostic pathways, deploy targeted technology investments, and cultivate collaborative partnerships that deliver measurable clinical value. Those who act decisively to align technical capability with workflow redesign and governance will not only mitigate risk but also unlock new modes of delivering timely, specialized radiology services across increasingly distributed care environments.
Please Note: PDF & Excel + Online Access - 1 Year
An authoritative framing of how converging imaging technologies, digital infrastructure, and clinical demand are redefining teleradiology workflows and strategic priorities
The teleradiology landscape is at a pivotal inflection where imaging technology, digital infrastructure, and clinical demand converge to create new operational paradigms. Healthcare providers are increasingly relying on remote diagnostic workflows to extend access to subspecialist expertise, address uneven radiologist distribution, and maintain continuity of care across geographic and temporal boundaries. At the same time, advances in imaging modalities and AI-enabled image interpretation are elevating the diagnostic value chain and shifting expectations for turnaround time, report quality, and integration with electronic health records.
Consequently, stakeholders including device manufacturers, software vendors, payers, and provider networks must re-evaluate procurement strategies, reimbursement pathways, and integration roadmaps. This introduction sets the stage for a focused examination of how technology adoption, regulatory dynamics, and supply chain considerations collectively shape operational decision-making. By outlining the forces that drive demand and the capabilities required to meet it, this section prepares leaders to interpret subsequent analyses and translate findings into practical actions for improving clinical outcomes and organizational efficiency.
A clear synthesis of the technological, organizational, and regulatory shifts that are reshaping teleradiology service delivery and vendor strategies
Teleradiology is undergoing transformative shifts driven by three interlinked vectors: technological maturation, organizational adoption, and evolving regulatory expectations. Technological maturation includes the integration of cloud-native architectures, the emergence of federated learning and privacy-preserving AI, and improvements in image acquisition such as spectral CT and ultralow-field MRI. These advances are expanding the scope of remote diagnostics beyond simple image transfer to analytic augmentation, workflow orchestration, and cross-institutional visual data exchange.
Organizational adoption is accelerating as healthcare systems prioritize scalability, resilience, and continuity of specialist services. As a result, on-premise legacy platforms are increasingly hybridized with cloud and web-based delivery models to balance security with accessibility. Concurrently, regulators and accreditation bodies are clarifying telehealth standards and data protection expectations, which compels vendors and providers to invest in compliance and auditability. Taken together, these shifts not only influence vendor selection and capital planning but also alter clinical pathways, enabling new models of care where radiology transforms from a siloed diagnostic function into a real-time consultative service integrated across the patient journey.
An evidence-driven assessment of how 2025 United States tariffs recalibrate supply chains, procurement practices, and strategic sourcing across the teleradiology ecosystem
The cumulative implications of tariffs and trade measures originating from the United States in 2025 extend beyond immediate cost adjustments to influence supply chain architecture, procurement timing, and supplier selection worldwide. Increased duties on imaging components, semiconductors, or specialized materials typically raise input costs for vendors, which may be passed downstream as higher capital expenditures for health systems. In response, suppliers often reconfigure sourcing strategies, diversifying manufacturing footprints or shifting to regional suppliers to mitigate exposure to tariff volatility.
Moreover, tariffs can lengthen procurement lead times and complicate warranty and service models when spare parts cross multiple customs regimes. For purchasers, this translates into a need for more robust total cost of ownership assessments that account for import duties, logistics complexity, and potential delays in equipment refresh cycles. In parallel, providers and vendors may accelerate investments in local partnerships, aftermarket service networks, and modular solutions to preserve resilience. Ultimately, while tariffs tend to be framed as pricing pressures, their broader effect is to incentivize structural changes in supply chains, procurement processes, and strategic sourcing that persist beyond immediate fiscal impacts.
A layered segmentation framework revealing how modality, delivery mode, application, and end-user distinctions drive differentiated adoption and procurement dynamics
Segmentation analysis reveals how modality, delivery mode, application, and end-user dynamics interact to shape adoption patterns and investment priorities in teleradiology. Based on Modality, market study spans CT, MRI, PET, Ultrasound, and X-Ray, with CT further examined across Conventional CT, Mobile CT, and Spectral CT; MRI further decomposed into High-Field MRI and Ultralow-Field MRI; PET analyzed across Cardiology, Neurology, and Oncology; Ultrasound differentiated between Three D And Four D Imaging and Two D Imaging; and X-Ray assessed across Computed Radiography, Digital Radiography, and Fluoroscopy. These modality distinctions matter because they determine bandwidth needs, image data complexity, and the extent of AI augmentation required for clinical decision support.
In addition, delivery mode analysis considers Cloud Based, On Premise, and Web Based implementations, each presenting distinct trade-offs between scalability, control, and compliance burden. Application segmentation evaluates PACS, RIS, and VNA, with PACS subdivided into Enterprise PACS and Modular PACS, RIS covering Order Management and Scheduling, and VNA distinguishing Clinical VNA and Enterprise VNA. Finally, end-user segmentation encompasses Clinics, Diagnostic Center, and Hospitals, with each setting exhibiting different workflow complexity, capital intensity, and integration requirements. Together, these layered segmentations inform product roadmaps, go-to-market targeting, and differentiated service models that align technical capability with clinical need.
A nuanced regional perspective that connects infrastructure maturity, regulatory regimes, and provider models to targeted teleradiology deployment strategies across major global regions
Regional dynamics exert significant influence on teleradiology deployment strategies, reimbursement frameworks, and vendor positioning. In the Americas, adoption is often shaped by consolidated health systems, aggressive private-provider networks, and a focus on enterprise-scale interoperability, which drives demand for integrated PACS, RIS, and VNA solutions that support cross-facility workflows. Conversely, Europe, Middle East & Africa present a diverse regulatory landscape where data localization, cross-border care, and variable infrastructure maturity require flexible delivery models and strong compliance capabilities.
Asia-Pacific combines high-growth urban centers with rapidly evolving healthcare infrastructure, creating demand for mobile imaging, cloud-enabled platforms, and cost-sensitive solutions that can scale across heterogeneous provider types. Each region thus demands tailored commercialization approaches: Americas often prioritize enterprise integration and subspecialty services, Europe, Middle East & Africa require robust privacy and multi-jurisdictional compliance, and Asia-Pacific emphasizes affordability, rapid deployment, and adaptability to mixed urban and rural clinical environments. These regional distinctions guide where vendors focus product investments, partnership models, and service delivery innovations.
A strategic overview of vendor behavior highlighting platform consolidation, modality specialization, and partnership-driven go-to-market strategies shaping competitive dynamics
Competitive behavior within the teleradiology ecosystem is characterized by platform consolidation, vertical integration, and strategic partnerships that expand clinical reach and service offerings. Vendors are increasingly bundling imaging modalities with cloud-based analytics and workflow orchestration to offer end-to-end solutions that reduce integration friction for health systems. At the same time, niche suppliers specialize in advanced modality support such as spectral CT and ultralow-field MRI, positioning themselves as technology leaders for specific clinical use cases.
Partnerships between imaging equipment manufacturers, software platform providers, and service organizations are also common, enabling combined propositions that address capital procurement, implementation services, and ongoing clinical support. Meanwhile, third-party integrators focus on interoperability challenges, deploying connectors and middleware to bridge PACS, RIS, and VNA deployments across hybrid environments. In sum, companies that prioritize open architectures, regulatory compliance, and proven clinical workflows are better positioned to capture enterprise engagements and long-term service agreements.
Actionable recommendations for healthcare leaders to prioritize interoperability, hybrid delivery, supply chain resilience, and workforce enablement to future-proof teleradiology operations
Industry leaders should adopt an integrated approach that aligns technology selection with clinical workflow redesign and supplier resilience. First, prioritize interoperability by selecting systems built on open standards and APIs to reduce vendor lock-in and enable modular evolution of capabilities. This reduces integration risk and facilitates staged adoption of advanced analytics without disrupting core clinical operations. Second, invest in hybrid delivery architectures that combine on-premise controls for sensitive workloads with cloud-based scalability for analytics and remote reporting, thereby balancing security with operational flexibility.
Third, incorporate supply chain risk assessments into procurement decisions by evaluating regional manufacturing footprints, spare-parts availability, and tariff exposure to avoid unforeseen delays. Fourth, accelerate workforce enablement through targeted training and telecollaboration tools that support distributed radiologist networks and optimize utilization. Finally, pursue partnerships with modality specialists and system integrators to deploy high-value capabilities such as spectral CT interpretation or ultralow-field MRI workflows. Taken together, these actions enable organizations to improve diagnostic throughput, strengthen clinical governance, and enhance resilience against market disruptions.
A rigorous mixed-methods research approach combining primary stakeholder interviews, secondary technical synthesis, and scenario stress-testing to validate practical insights
The research behind this analysis combines primary and secondary methods to ensure robustness and practical relevance. Primary inputs include structured interviews with radiology leaders, IT officers, and procurement specialists, along with expert consultations with modality specialists and clinical informaticists. These engagements were designed to capture first-hand perspectives on operational challenges, adoption barriers, and real-world integration patterns across diverse provider settings.
Secondary research synthesized peer-reviewed literature, regulatory guidance, technical white papers, and vendor documentation to validate technological claims and map feature sets across product categories. Data synthesis applied thematic analysis to reconcile qualitative insights with documented evidence, while triangulation techniques were used to identify consistent patterns and divergent perspectives. Finally, findings were stress-tested through scenario analysis to examine implications under different supply chain and regulatory conditions, ensuring that conclusions remain actionable for decision-makers navigating complex procurement and implementation choices.
A conclusive synthesis emphasizing strategic alignment of technology, workflows, and supplier resilience to realize the full clinical and operational potential of teleradiology
The confluence of advanced imaging modalities, cloud-enabled delivery, and AI augmentation is redefining what remote radiology can deliver for clinicians and patients. As clinical demand rises and workforce constraints persist, organizations that embrace interoperable platforms, strategic supplier relationships, and hybrid architectures will be better positioned to capture efficiency gains and improve diagnostic quality. Moreover, regional and trade dynamics emphasize the need for adaptive procurement strategies that consider supply chain resilience and regulatory compliance as integral to total cost and service reliability.
In closing, leaders should view teleradiology evolution as an opportunity to remodel diagnostic pathways, deploy targeted technology investments, and cultivate collaborative partnerships that deliver measurable clinical value. Those who act decisively to align technical capability with workflow redesign and governance will not only mitigate risk but also unlock new modes of delivering timely, specialized radiology services across increasingly distributed care environments.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
195 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of artificial intelligence algorithms for automated image interpretation and prioritization in teleradiology workflows
- 5.2. Deployment of cloud based DICOM storage solutions to enhance remote access collaboration among radiologists in smart teleradiology networks
- 5.3. Adoption of 5G enabled mobile imaging platforms to reduce transfer latency and improve diagnostic turnaround times in rural settings
- 5.4. Implementation of advanced cybersecurity protocols and blockchain methods to secure patient data transmission across teleradiology networks
- 5.5. Utilization of predictive analytics and machine learning insights to optimize workload distribution in multi site teleradiology services
- 5.6. Emerging use of conversational AI assistants to facilitate radiologist reporting and voice driven teleconsultation workflows in imaging services
- 5.7. Development of interoperable imaging standards APIs to seamlessly integrate smart teleradiology platforms with electronic health record systems
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Smart Teleradiology Market, by Modality
- 8.1. CT
- 8.1.1. Conventional CT
- 8.1.2. Mobile CT
- 8.1.3. Spectral CT
- 8.2. MRI
- 8.2.1. High-Field MRI
- 8.2.2. Ultralow-Field MRI
- 8.3. PET
- 8.3.1. Cardiology
- 8.3.2. Neurology
- 8.3.3. Oncology
- 8.4. Ultrasound
- 8.4.1. Three D And Four D Imaging
- 8.4.2. Two D Imaging
- 8.5. X-Ray
- 8.5.1. Computed Radiography
- 8.5.2. Digital Radiography
- 8.5.3. Fluoroscopy
- 9. Smart Teleradiology Market, by Delivery Mode
- 9.1. Cloud Based
- 9.2. On Premise
- 9.3. Web Based
- 10. Smart Teleradiology Market, by Application
- 10.1. PACS
- 10.1.1. Enterprise PACS
- 10.1.2. Modular PACS
- 10.2. RIS
- 10.2.1. Order Management
- 10.2.2. Scheduling
- 10.3. VNA
- 10.3.1. Clinical VNA
- 10.3.2. Enterprise VNA
- 11. Smart Teleradiology Market, by End User
- 11.1. Clinics
- 11.2. Diagnostic Center
- 11.3. Hospitals
- 12. Smart Teleradiology Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Smart Teleradiology Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Smart Teleradiology Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. Siemens Healthineers AG
- 15.3.2. GE Healthcare
- 15.3.3. Philips Healthcare
- 15.3.4. Agfa-Gevaert Group
- 15.3.5. Fujifilm Holdings Corporation
- 15.3.6. Carestream Health Inc.
- 15.3.7. Konica Minolta Inc.
- 15.3.8. Canon Medical Systems Corporation
- 15.3.9. IBM Watson Health
- 15.3.10. NVIDIA Corporation
- 15.3.11. Google LLC
- 15.3.12. Amazon Web Services Inc.
- 15.3.13. IBM Corporation
- 15.3.14. Teleradiology Solutions LLC
- 15.3.15. RadNet Inc.
- 15.3.16. USARAD Holdings Inc.
- 15.3.17. TeleDiagnosys Services Pvt. Ltd.
- 15.3.18. Everlight Radiology
- 15.3.19. Teleradiology Experts Inc.
- 15.3.20. ONRAD Inc.
- 15.3.21. StatRad LLC
- 15.3.22. RamSoft Inc.
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