AI in Radiology Market

AI in Radiology Market Overview

As per MRFR analysis, the AI in Radiology Market Size was estimated at 1.84 (USD Billion) in 2023. The AI in Radiology Market Industry is expected to grow from 2.2(USD Billion) in 2024 to 15.7 (USD Billion) by 2035. The AI in Radiology Market CAGR (growth rate) is expected to be around 19.56% during the forecast period (2025 - 2035).

Key AI in Radiology Market Trends Highlighted

The AI in Radiology Market is undergoing a rapid transformation, which is being fueled by the growing demand for precise diagnostic instruments and advanced artificial intelligence technology. The increasing prevalence of chronic diseases, the decreasing incidence of diagnostic errors, and the growing demand for improved imaging accuracy are among the primary market drivers. As healthcare systems worldwide strive for efficient solutions, AI-powered radiology tools are gathering traction. These tools can assist radiologists in image analysis, resulting in improved patient care and quicker decision-making time. There is an abundance of opportunities in the market, particularly as health institutions and radiology departments aspire to incorporate AI systems into their workflows.

Governments and health organizations are progressively promoting digital transformation in healthcare by investing in innovative technologies that enhance service delivery. Additionally, the development of customized AI solutions that cater to specific clinical requirements is being facilitated by partnerships between healthcare institutions and technology companies. Recent trends suggest a substantial increase in the utilization of machine learning algorithms that can accelerate the diagnostic process by learning from extensive datasets. This has resulted in the development of applications that offer valuable insights into the interpretation of medical images. A recent trend has been the transition to cloud-based AI solutions, which has facilitated the collaboration of healthcare professionals worldwide and facilitated simpler access to advanced tools.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

AI in Radiology Market Drivers

Increase in Diagnostic Imaging Procedures

The AI in Radiology Market Industry is experiencing growth due to a notable increase in the frequency of diagnostic imaging procedures. According to the World Health Organization, imaging use has risen by approximately 15% over the past five years, with countries like the United States and Germany leading in advanced diagnostic techniques. Major organizations such as Siemens Healthineers and GE Healthcare are expanding their imaging technologies, which aids in faster, more accurate diagnoses.

This surge in demand for imaging services boosts the necessity for artificial intelligence integration to handle large volumes of data efficiently, thereby enhancing productivity and outcomes in radiology.

Rising Prevalence of Chronic Diseases

The rising prevalence of chronic diseases such as cardiovascular diseases and cancer significantly drives the AI in the Radiology Market Industry. Statistics show that in the last decade, cardiovascular diseases have become the leading cause of death ly, accounting for approximately 31% of all fatalities, according to the World Health Organization. As organizations like the American Heart Association and various health agencies collaborate to analyze and improve cardiovascular diagnostics, the demand for advanced AI-powered radiological tools to assist in early detection and treatment plans continues to rise, thus propelling market growth.

Growing Investment in Healthcare IT Infrastructure

In the AI in the Radiology Market Industry, burgeoning investments in healthcare IT infrastructure are acting as a vital driver for market expansion. Governments worldwide have been allocating substantial budgets for technological advancement in healthcare, with the U.S. government's Health IT Strategy aiming for comprehensive digital transformations by 2024. Notable tech companies like IBM and Microsoft have partnered with healthcare providers to integrate AI technology into existing systems.

This growing trend emphasizes the shift towards more digitized, efficient, and accessible healthcare services, prompting the adoption of AI solutions in radiology to streamline operations and improve patient outcomes.

AI in Radiology Market Segment Insights

AI in Radiology Market Technology Insights

The AI in Radiology Market is undergoing significant transformation attributed to advancements in various technology segments, which comprise Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. By 2024, the overall market will be valued at 2.2 USD Billion and is poised for substantial growth, reflecting the increasing adoption of AI technologies in medical imaging. In terms of segmentation, Machine Learning holds a majority share with an estimated value of 0.8 USD Billion in 2024. It is expected to reach 5.6 USD Billion in 2035, indicating its prominent role in enhancing diagnostic accuracy and efficiency.

This technology has shown significant potential in automating data analysis and improving predictive modeling in radiology, enabling healthcare providers to make informed clinical decisions effectively. Deep Learning is another critical segment, valued at 0.7 USD Billion in 2024 and projected to grow to 5.2 USD Billion by 2035. Its ability to process vast amounts of imaging data translates to better image recognition and classification, making it indispensable in the radiology sector. Natural Language Processing, valued at 0.4 USD Billion in 2024, is anticipated to grow to 3.2 USD Billion by 2035.

This technology plays a vital role in transforming unstructured clinical data into structured data, facilitating improved communication between machines and healthcare practitioners. Computer Vision, the smallest segment, starts at a value of 0.3 USD Billion in 2024 and is expected to reach 1.7 USD Billion by 2035. Despite being the least valued, its contributions to image analysis and precision diagnostics cannot be overlooked, marking it as an emerging player in AI radiology. Together, these technology segments highlight the vibrant dynamics within the AI in Radiology Market, underlining factors such as increased efficiency, improved patient outcomes, and the drive towards data-driven decision-making in healthcare settings.

This combined growth is fueled by a surge in the need for automation in radiological practices and opportunities presented by advanced analytics and precise imaging techniques. As healthcare organizations strive to integrate innovative technology that enhances diagnostic processes, the relevance and application of AI across these segments will continue to evolve and dominate the market landscape.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

AI in Radiology Market Application Insights

The AI in Radiology Market is expected to reach a valuation of 2.2 USD Billion by 2024, reflecting its significance in healthcare. Among the various applications, Image Analysis is crucial as it enhances diagnostic accuracy by automating the interpretation of medical images, thereby saving valuable time for radiologists. Workflow Optimization is also a key player, streamlining processes and improving operational efficiency in radiology departments. Clinical Decision Support systems are pivotal in providing evidence-based recommendations and assisting healthcare professionals in making informed decisions.

Additionally, Radiation Dose Management is increasingly important in ensuring patient safety by optimizing exposure levels during imaging procedures. The combination of these applications not only drives market growth but also addresses the challenges of rising healthcare costs and increasing demand for diagnostic services across the globe. The continuous advancement of technology in these areas offers immense opportunities for the AI in the Radiology Market, paving the way for enhanced patient outcomes and more efficient healthcare services.

AI in Radiology Market End-Use Insights

The AI in Radiology Market has shown substantial growth, with the market expected to reach a value of 2.2 billion USD by 2024, and further expanding towards 15.7 billion USD by 2035. This market segmentation highlights key areas, particularly in Hospitals, Diagnostic Imaging Centers, Research Institutes, and Telemedicine applications, which are critical for leveraging AI technologies in radiology practices. Hospitals are often the frontline for implementing AI radiology solutions to enhance diagnostic accuracy and improve patient outcomes.

Diagnostic Imaging Centers utilize AI to streamline processes, leading to quicker imaging results and effective utilization of resources. Research Institutes play a vital role in the development of innovative AI technologies, contributing to enhanced capabilities in medical imaging. Furthermore, Telemedicine has become increasingly significant, especially following health challenges, providing remote diagnostic services that depend heavily on AI to ensure precision. Such segments not only showcase the diverse applications of AI in radiology but also reflect the ongoing trend of digital transformation in healthcare, emphasizing the need for efficient and scalable solutions.

AI in Radiology Market Solution Insights

The AI in Radiology Market, specifically within the Solution segment, showcases substantial growth potential, with a projected valuation of 2.2 billion USD by 2024. This segment is pivotal in transforming radiological practices through the integration of advanced technologies. The market is intricately divided into three primary areas Software, Hardware, and Services. Software solutions are essential as they enhance diagnostic accuracy and streamline workflows, thus driving efficiency within healthcare facilities. Hardware plays a crucial role by providing the necessary infrastructure to support AI applications in imaging.

Services, including maintenance and technical support, are vital for ensuring that these technologies function effectively and evolve with industry demands. As the AI in Radiology Market evolves, growth drivers such as the increasing demand for automated imaging analysis and improved patient outcomes are prominent. However, challenges such as regulatory compliance and data security concerns persist. Opportunities are emerging in adopting AI solutions across various healthcare settings ly, making this segment a crucial focus for future innovations and investments in the healthcare industry.

AI in Radiology Market Regional Insights

The AI in Radiology Market demonstrates robust growth in various regional segments, reflecting an overall valuation expected to reach 2.2 USD Billion in 2024. North America stands out as a major player with a valuation of 0.9 USD Billion, propelling significant advancements due to high investments in healthcare technology and a well-established healthcare infrastructure. Europe follows as another strong market with a value of 0.6 USD Billion, driven by the rising adoption of AI technologies and supportive government policies toward digital healthcare innovations.

The APAC region, valued at 0.5 USD Billion, is emerging rapidly due to increasing healthcare demands and investments in technology, presenting considerable opportunities for growth. Meanwhile, South America and MEA reflect valuations of 0.1 USD Billion and 0.1 USD Billion, respectively, indicating their nascent stages in AI implementation but highlighting the potential for expansion as awareness of AI capabilities grows. This segmentation underscores the varying dynamics across regions, with North America and Europe dominating the AI in Radiology Market revenue due to their comprehensive healthcare frameworks and investment capabilities, while other areas present opportunities for emerging technologies and market penetration initiatives.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

AI in Radiology Market Key Players and Competitive Insights

The AI in Radiology Market is rapidly evolving as healthcare providers increasingly adopt artificial intelligence technologies to improve diagnostic accuracy, streamline workflows, and enhance patient care. Competition within this market is characterized by the entry of numerous players ranging from start-ups to established technology companies that bring diverse capabilities and solutions. The integration of AI in radiology offers significant advantages, such as reduced operational costs, improved imaging techniques, and enhanced imaging speeds, leading to faster diagnosis and treatment.

Market participants are focusing on continuous innovation, strategic partnerships, and product development to capitalize on the growing need for efficient imaging solutions ly. The competitive landscape is marked by a mix of software solutions, services, and platforms aimed at various radiological applications, including but not limited to diagnostics, automated reporting, image analysis, and predictive analytics.

IBM

IBM holds a prominent position within the AI in Radiology Market with its commitment to integrating advanced AI technologies in healthcare. The company's strengths lie in its robust research and development capabilities, extensive experience in data analytics, and established presence in the healthcare sector. IBM has developed specific AI-driven solutions that enhance radiology workflows, enabling radiologists to derive insights more quickly and accurately from imaging data. This focus on improving diagnostic efficiency and maintaining a strong support system for healthcare professionals gives IBM a competitive edge. Furthermore, the company has entered into strategic alliances with various healthcare institutions to expand its footprint in the radiology market, allowing it to leverage vast amounts of clinical data and refine its AI algorithms accordingly.

Xray.ai

Xray.ai is a firm that specializes in the application of artificial intelligence technologies specifically tailored for radiology. It focuses on developing solutions that assist radiologists in interpreting imaging data with high accuracy. The company offers key products and services that include AI-based diagnostic tools designed to analyze various types of medical images, thereby enhancing the speed and quality of diagnosis. Xray.ai has gained notable traction within the AI in Radiology Market by establishing a strong presence through collaborations with radiology departments and healthcare networks around the world.

The company’s strengths lie in its innovative technology that enables real-time image analysis and decision support, contributing to improved patient outcomes. Additionally, Xray.ai is actively engaged in strategic mergers and acquisitions to bolster its technological capabilities and market share, positioning itself as a key player in advancing AI-driven solutions across healthcare systems.

Key Companies in the AI in Radiology Market Include

• IBM
• Xray.ai
• Fujifilm
• Arterys
• Qure.ai
• Philips
• Imbio
• Aidoc
• Lunit
• Koios Medical
• Zebra Medical Vision
• DeepMind
• RadNet
• Siemens Healthineers
• General Electric

AI in Radiology Market Industry Developments

The AI in Radiology Market has witnessed significant developments recently, with various companies making strides in artificial intelligence applications for diagnostic imaging. In October 2023, IBM and General Electric announced a collaborative effort to enhance radiological services using AI technology, focusing on improving diagnostic accuracy and efficiency.

Meanwhile, Fujifilm has invested in Research and Development to advance its AI-based imaging solutions, further solidifying its position in the market. In a notable acquisition, Arterys acquired Koios Medical in September 2023, aiming to integrate their technology platforms for better AI-driven analysis in radiology. Companies like Aidoc, Lunit, and Zebra Medical Vision are also increasing their market footprint through strategic partnerships to advance AI algorithms for imaging analysis. Over the past two years, the market has reflected strong growth, particularly driven by demand for enhanced diagnostic tools amid increasing healthcare technological integration. With funding pouring into the sector, AI's role in radiology continues to evolve, breathing life into innovative applications that stand to revolutionize imaging diagnostics ly.

AI in Radiology Market Segmentation Insights

AI in Radiology Market Technology Outlook

• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision

AI in Radiology Market Application Outlook

• Image Analysis
• Workflow Optimization
• Clinical Decision Support
• Radiation Dose Management

AI in Radiology Market End-Use Outlook

• Hospital
• Diagnostic Imaging Center
• Research Institute
• Telemedicine

AI in Radiology Market Solution Outlook

• Software
• Hardware
• Services

AI in Radiology Market Regional Outlook

• North America
• Europe
• South America
• Asia Pacific
• Middle East and Africa

AI in Radiology Market Segmentation

AI in Radiology Market By Modality Outlook (USD Billion, 2019-2032)

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Others

AI in Radiology Market By Application Outlook (USD Billion, 2019-2032)

• Breast imaging

• Lung imaging

• Neurology

• Cardiovascular applications

• Liver imaging

• Other applications

AI in Radiology Market By End-user Outlook (USD Billion, 2019-2032)

• Hospitals

• Clinics

• Diagnostic Centers

• Other end users

AI in Radiology Market Regional Outlook (USD Billion, 2019-2032)

• North America Outlook (USD Billion, 2019-2032)

  • North America AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• North America AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• North America AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• US Outlook (USD Billion, 2019-2032)

• US AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• US AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• US AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• CANADA Outlook (USD Billion, 2019-2032)

• CANADA AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• CANADA AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• CANADA AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Europe Outlook (USD Billion, 2019-2032)

  • Europe AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Europe AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Europe AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Germany Outlook (USD Billion, 2019-2032)

• Germany AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Germany AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Germany AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• France Outlook (USD Billion, 2019-2032)

• France AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• France AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• France AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• UK Outlook (USD Billion, 2019-2032)

• UK AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• UK AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• UK AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• ITALY Outlook (USD Billion, 2019-2032)

• ITALY AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• ITALY AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• ITALY AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• SPAIN Outlook (USD Billion, 2019-2032)

• Spain AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Spain AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Spain AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Rest Of Europe Outlook (USD Billion, 2019-2032)

• Rest Of Europe AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• REST OF EUROPE AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• REST OF EUROPE AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Asia-Pacific Outlook (USD Billion, 2019-2032)

  • Asia-Pacific AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Asia-Pacific AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Asia-Pacific AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• China Outlook (USD Billion, 2019-2032)

• China AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• China AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• China AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Japan Outlook (USD Billion, 2019-2032)

• Japan AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Japan AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Japan AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• India Outlook (USD Billion, 2019-2032)

• India AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• India AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• India AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Australia Outlook (USD Billion, 2019-2032)

• Australia AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Australia AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Australia AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Rest of Asia-Pacific Outlook (USD Billion, 2019-2032)

• Rest of Asia-Pacific AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Rest of Asia-Pacific AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Rest of Asia-Pacific AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Rest of the World Outlook (USD Billion, 2019-2032)

  • Rest of the World AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Rest of the World AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Rest of the World AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Middle East Outlook (USD Billion, 2019-2032)

• Middle East AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Middle East AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Middle East AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Africa Outlook (USD Billion, 2019-2032)

• Africa AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Africa AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Africa AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users

• Latin America Outlook (USD Billion, 2019-2032)

• Latin America AI in Radiology Market by Modality

• X-ray

• Computed tomography (CT)

• Magnetic Resonance Imaging (MRI)

• Ultrasound imaging

• Molecular imaging

• Latin America AI in Radiology Market by Application

  • Breast imaging

  • Lung imaging

  • Neurology

  • Cardiovascular applications

  • Liver imaging

  • Other applications

• Latin America AI in Radiology Market by End-user

  • Hospitals

  • Clinics

  • Diagnostic Centers

  • Other end users