Top 10 Radiology AI Companies Changing the Healthcare


Published: 22 Mar 2025


AI is revolutionizing radiology by making medical imaging faster, more accurate and efficient. With AI-powered tools, radiologists can detect diseases like cancer, brain tumors and lung conditions earlier than ever. Leading radiology AI companies are developing innovative solutions that enhance X-ray, MRI, CT and PET scan analysis which reduce errors and improve patient outcomes. Knowing the top 10 radiology AI companies helps healthcare professionals choose the best AI tools, stay updated on industry leaders and understand how AI is shaping the future of medical imaging.

ai companies in radiology

So, let’s come to the topic and explore the top players driving this revolution!

1️⃣ Qure.ai

2️⃣ Aidoc

3️⃣ DeepTek

4️⃣ Annalise.ai

5️⃣ Lunit

6️⃣ Brainomix Limited

7️⃣ Subtle Medical

8️⃣ Vuno

9️⃣ Therapixel

🔟 Perspectum

1️⃣ Qure.ai

Founded in 2016, Qure.ai is a leading health-tech company specializing in artificial intelligence solutions for medical imaging. Qure.ai is headquartered in Mumbai, India and it aims to make healthcare more accessible and affordable through advanced AI technologies. The company has a global presence with deployments in over 50 countries, impacting more than 600 healthcare facilities. ​

qure ai homepage

Key AI Solutions in Radiology

Qure.ai offers a suite of AI-powered tools specifically designed to enhance radiology practices:​

  • qER: An AI solution for interpreting head CT scans, capable of detecting critical abnormalities such as intracranial bleeds, mass effect, midline shift and cranial fractures.
  • qXR: An AI tool that analyzes chest X-rays to identify conditions like tuberculosis, lung nodules and pneumonia. ​
  • qTrack: A care coordination platform that integrates AI findings to optimize patient management and follow-up. ​

How Their AI Works

Qure.ai’s AI algorithms are trained on over 7 million imaging datasets, enabling them to recognize complex patterns in medical images. Utilizing deep learning techniques, these tools assist radiologists by providing automated analyses which streamline workflows and enhance diagnostic accuracy.

Real-World Applications

Qure.ai’s solutions have been implemented in various healthcare settings:​

  • Emergency Departments: qER aids in the rapid assessment of head injuries and facilitates timely interventions.
  • Tuberculosis Screening: qXR has been deployed in public health programs to expedite TB detection, particularly in resource-limited areas. ​
  • Stroke Management: Collaborations with organizations like AstraZeneca aim to screen 5 million patients by 2025, enhancing early diagnosis and treatment of stroke.

Recognition and Industry Impact

Qure.ai has achieved significant regulatory milestones, including:​

  • FDA Clearances: The company received its first U.S. FDA 510(k) clearance for qER, marking an industry first 4-in-1 clearance for detecting critical head CT scan abnormalities.
  • Global Deployments: Their AI tools are utilized in over 600 healthcare facilities across more than 50 countries.

2️⃣ Aidoc

Established in 2016, Aidoc is a pioneering clinical AI company specializing in advanced medical imaging solutions. Headquartered in Tel Aviv, Israel, Aidoc focuses on enhancing radiology workflows and patient outcomes through artificial intelligence. As of 2025, Aidoc’s platform analyzes approximately 3 million patients each month, reflecting its significant impact on global healthcare. 

aidoc homepage

Key AI Solutions in Radiology

Aidoc offers a comprehensive pack of tools designed to assist radiologists in various diagnostic tasks:​

  • Acute Condition Detection: Aidoc’s algorithms can identify critical findings such as intracranial hemorrhages, large-vessel occlusions and pulmonary embolisms, enabling prompt medical interventions. ​
  • Workflow Optimization: By prioritizing cases with acute anomalies, Aidoc’s solutions streamline radiology workflows, reduce turnaround times and enhance overall efficiency.
  • Comprehensive Stroke Package: Aidoc provides an integrated AI solution for stroke management which is capable of detecting both intracranial hemorrhages and large-vessel occlusions in head CT scans.

Also our detailed article on AI companies in medical imaging.

How Their AI Works

Aidoc’s AI platform uses deep learning techniques to analyze medical images in real-time. It Integrates seamlessly into existing radiology workflows. The AI system flags critical findings, allowing radiologists to prioritize urgent cases. This approach enhances diagnostic accuracy and accelerates patient management. 

Real-World Applications

Aidoc’s solutions have been widely adopted across various healthcare settings:​

  • Emergency Departments: By promptly identifying acute conditions, Aidoc’s AI aids in reducing patient length-of-stay and time spent in emergency departments.
  • Stroke Centers: The comprehensive stroke package assists in the rapid detection of stroke-related abnormalities.
  • Radiology Practices: Aidoc’s AI tools support radiologists by enhancing diagnostic power, expediting patient treatment and improving the quality of care through real-time anomaly detection.

Recognition and Industry Impact

Aidoc has achieved significant milestones in the field of clinical AI:

  • FDA Clearances: The company has secured multiple FDA clearances for its AI solutions, including the first-ever clearance for a foundation model-powered clinical AI solution, setting a new benchmark in healthcare AI.
  • Global Adoption: Aidoc’s AI platform is integrated into clinical workflows at hundreds of sites worldwide, analyzing millions of cases and improving turnaround times by over 30%.

3️⃣ DeepTek

Founded in 2017, DeepTek is a pioneering radiology AI company which is headquartered in Pune, India. The company is highly specialized in integrating artificial intelligence into medical imaging for promoting diagnostic accuracy and efficiency. DeepTek’s mission is to make radiology services more affordable and accessible by leveraging cutting-edge AI technology.

deeptak homepage

Key AI Solutions in Radiology

DeepTek also offers a bulk of AI-driven tools designed to support radiologists. Some notable achievements are:​

  • Augmento: An AI-based cloud Picture Archiving and Communication System that optimizes radiology workflows, reducing turnaround times and improving report quality.
  • Genki: A public health screening platform utilizing AI to assist in diagnosing over 22 pathologies from X-rays, MRIs and CT scans, including conditions like COVID-19, tuberculosis and emphysema.
  • CXR Analyzer: An AI solution for chest X-rays that has received clearance from the U.S. Food and Drug Administration (FDA), enhancing the reliability of chest imaging diagnostics.

How Their AI Works

DeepTek’s AI solutions employ advanced machine learning algorithms to analyze medical images. These tools pre-screen studies, highlight potential abnormalities and assist radiologists in prioritizing cases, thereby enhancing diagnostic accuracy and efficiency. 

Real-World Applications

DeepTek’s AI solutions have been implemented in various healthcare settings:​

  • Teleradiology Services: DeepTek’s AI-powered teleradiology services handle approximately one million studies annually across India, providing quick turnaround times and supporting radiologists with accurate reporting.
  • Diagnostic Centers: Institutions like Vijaya Diagnostic Centre have adopted DeepTek’s Augmento platform across over 150 branches and scaled their radiology services effectively.
  • Public Health Initiatives: The Genki platform has been utilized in large-scale public health screenings, performing on par with expert radiologists in detecting conditions like tuberculosis.

Recognition and Industry Impact

DeepTek has achieved notable milestones in the radiology AI industry:​

  • FDA Clearance: The company’s CXR Analyzer received U.S. FDA clearance, underscoring its commitment to meeting stringent regulatory standards.
  • Funding and Growth: DeepTek has raised a total of $10 million over four funding rounds which reflects investor confidence in its innovative AI solutions.

Here is a list of Top AI companies in Healthcare which includes startups, big names and specialized field players.

4️⃣ Annalise.ai

Founded in 2019, Annalise.ai is an Australian health tech company specializing in artificial intelligence solutions for medical imaging. The company aims to enhance diagnostic accuracy and efficiency in radiology. In just 5 years, Annalise.ai has grown to over 300 employees. It reflects its rapid expansion and commitment to advancing healthcare technology.

annalise ai homepage

Key AI Solutions in Radiology

Annalise.ai offers a lot of comprehensive tools to support radiologists:​

  • Annalise Enterprise CXR: This decision-support tool detects up to 124 findings on chest X-rays within seconds and assists clinicians in making swift and accurate diagnoses.
  • Annalise Enterprise CTB: Designed for non-contrast head CT studies, this solution identifies up to 130 radiological findings including conditions requiring immediate intervention.
  • Annalise CXR Edge: A bedside tool that detects up to 95 findings on chest X-rays, facilitating prompt decision-making in critical care settings.

How Their AI Works

Annalise.ai’s solutions utilize advanced deep learning algorithms to analyze medical images rapidly. These tools integrate seamlessly into existing radiology workflows and highlights areas of interest and suggest potential diagnoses which enables radiologists to assess options more effectively.

Real-World Applications

Annalise.ai’s technology has been implemented in various healthcare settings:​

  • Public Health Imaging: In South Australia, Annalise.ai’s AI assistance has been integrated across all South Australian Medical Imaging sites including six metropolitan and four regional hospitals. This statewide rollout is an Australian first in public health imaging, enhancing diagnostic precision and patient care.
  • International Collaborations: The company has formed strategic partnerships with healthcare providers in the US, UK, Europe and Asia and is supporting radiologists and clinicians worldwide in making faster, more accurate diagnoses.

Recognition and Industry Impact

Annalise.ai has achieved significant milestones in the radiology AI industry:​

  • Strategic Collaborations: In May 2024, Annalise.ai partnered with Soliton IT to integrate its AI solutions into Soliton IT’s Radiology Information Systems with an aim to transform NHS radiology services by enhancing workflow efficiency and diagnostic capabilities.

Also Read: History of AI in Healthcare

5️⃣ Lunit

Established in 2013, Lunit is a South Korean medical AI company specialized in developing advanced artificial intelligence solutions for cancer diagnostics and therapeutics. The company’s name, “Lunit,” stands for “learning unit,” reflecting its commitment to deep learning and data-driven approaches. Lunit’s mission is to conquer cancer through AI by detecting cancers at the early stage and optimizing treatment strategies to save lives.

lunit homepage

Key AI Solutions in Radiology

Lunit offers multiple AI tools for promoting radiology practices:​

  • Lunit INSIGHT CXR: An AI solution for chest X-ray analysis that detects various abnormalities including lung nodules, pneumothorax and consolidation, aiding in the early detection of lung diseases. ​
  • Lunit INSIGHT MMG: An AI system for mammography that identifies suspicious lesions such as masses and calcifications to assist in the early detection of breast cancer.

Suggested article: Pathology AI Companies making an impact in cancer detection

How Their AI Works

Lunit’s AI solutions utilize deep learning algorithms trained on vast datasets of medical images. By analyzing these images, the AI models can detect patterns and anomalies that may indicate the presence of disease. For instance, Lunit INSIGHT CXR analyzes chest X-rays to identify potential lung abnormalities, providing radiologists with visual aids and probability scores to support their diagnostic decisions.

Real-World Applications

Lunit’s AI technologies have been integrated into various clinical settings:​

  • Hospital Implementations: In 2022, Lunit signed a software license agreement with Hospital Israelita Albert Einstein, Latin America’s largest hospital to provide its AI-based chest X-ray solution. It enhances the hospital’s diagnostic capabilities.
  • Clinical Studies: A study published in the journal Radiology demonstrated that Lunit’s AI-powered lung cancer screening solution significantly improved radiologists’ diagnostic performance, highlighting the clinical value of integrating AI into radiology workflows.

Recognition and Industry Impact

Lunit has achieved significant milestones in the medical AI industry:

  • Research Contributions: At the European Congress of Radiology 2025, Lunit presented 15 studies with 13 accepted as oral presentations, marking a significant milestone in AI-powered radiology research and demonstrating the clinical impact of their solutions.
  • Technological Advancements: By partnering with VAST Data, Lunit optimized their data storage and processing capabilities. It enhances their AI workloads and supports more efficient cancer research.

6️⃣ Brainomix Limited

Founded in 2010 as a spin-out from the University of Oxford, Brainomix Limited specializes in developing AI-powered imaging biomarkers to enable precision medicine and improve treatment decisions. The company’s mission is to harness artificial intelligence to transform patient care and outcomes across various medical conditions.

Brainomix Homepage

Key AI Solutions in Radiology

Brainomix has developed a suite of AI-driven software solutions targeting critical areas in medical imaging:

  • e-Stroke Platform: This comprehensive, fully automated AI-imaging solution helps in stroke assessment by supporting both simple and advanced imaging needs. It empowers healthcare providers to enhance decision-making and deliver superior care, ensuring better outcomes for patients.
  • e-Lung Platform: e-Lung is Designed to enhance clinical trial outcomes. This is an AI imaging solution for interstitial lung disease assessment that includes a range of classifiers and biomarkers. It supports clinical development efforts for treatments like ILD, idiopathic pulmonary fibrosis (IPF), and other lung diseases by improving patient selection and efficacy assessment.

How Their AI Works

Brainomix’s AI solutions utilize advanced algorithms trained on extensive datasets to analyze medical images rapidly and accurately. By integrating seamlessly into existing clinical workflows, these tools provide clinicians with critical insights such as visual indicators and quantitative assessments to support informed decision-making. For example, the e-Stroke platform automates the analysis of stroke imaging and aids in the timely identification of patients eligible for life-saving treatments. 

Real-World Applications

Brainomix’s technologies have been utilized widely in healthcare:​

  • Stroke Care: Hospitals utilizing the e-Stroke platform have reported significant improvements in patient selection for treatment, aided by the software’s cutting-edge imaging and analysis capabilities.
  • Clinical Trials: The e-Lung platform has been employed in clinical trials to enhance patient selection and efficacy assessment which supports the development of treatments for lung diseases like ILD and IPF.

Recognition and Industry Impact

Brainomix has achieved notable milestones in the medical AI industry:​

  • FDA Clearance: In March 2023, Brainomix received FDA clearance for its flagship stroke AI imaging software, positioning the company to bring its transformative technology to U.S. stroke centers.
  • Industry Partnerships: The company has formed strategic collaborations with pharmaceutical companies to enhance clinical trial success and foster the adoption of existing therapies in stroke, lung fibrosis, and cancer. 

7️⃣ Subtle Medical

Established in 2017, Subtle Medical is a pioneering healthcare technology company based in Menlo Park, California. The company specializes in developing artificial intelligence (AI) solutions to enhance medical imaging, aiming to make scans faster, safer and smarter. Subtle Medical’s mission is to improve the quality and efficiency of medical imaging thereby elevating patient care and optimizing radiology workflows. ​

Subtle Medical Homepage

Key AI Solutions in Radiology

Subtle Medical offers innovative AI-driven products designed to improve medical imaging:​

  • SubtleMR™: This solution reduces image noise across various body regions including the head, spine, neck, abdomen, pelvis, prostate, breast and musculoskeletal areas. It enhances image sharpness particularly in head MRI scans, facilitating clearer and more accurate diagnoses.
  • SubtlePET™: This technology employs denoising techniques to improve the image quality of low-count PET exams and allows scans to be conducted in up to 25% of the original scan time. This advancement reduces radiation exposure and accelerates the imaging process by benefiting both patients and healthcare providers.

How Their AI Works

Subtle Medical’s AI solutions utilize deep learning algorithms to process medical images, reducing noise and enhancing clarity. By integrating seamlessly into existing imaging workflows, these tools allow for faster scan times and improved image quality without requiring additional hardware. For instance, SubtleMR™ enhances MRI images by reducing noise, while SubtlePET™ improves PET scan quality.

Real-World Applications

Subtle Medical’s technologies have been implemented in various clinical settings:​

  • Clinical Adoption: Healthcare facilities worldwide have integrated SubtleMR™ and SubtlePET™ into their imaging protocols and get results in faster scan times and improved patient comfort. These solutions have also enabled institutions to increase throughput without compromising diagnostic accuracy. ​
  • Research Collaborations: The company collaborates with leading medical centers to validate and expand the applications of its AI technologies, contributing to advancements in medical imaging research and practice.

Recognition and Industry Impact

Subtle Medical has achieved significant milestones in the medical imaging industry:

  • Innovation in AI: In March 2025, Subtle Medical advanced generative AI innovation in radiology by leveraging NVIDIA’s latest GPU architecture. This collaboration aims to accelerate developments in ultra-low-dose imaging and enhanced lesion visualization, showcasing the company’s commitment to cutting-edge technology.
  • Industry Acknowledgment: The company’s solutions have been recognized for their potential to transform radiology practices, earning accolades and fostering partnerships with leading healthcare institutions.

8️⃣ Vuno

Founded in 2014, VUNO Inc. is a South Korean leader in medical AI, dedicated to transforming healthcare through innovative AI solutions. The company’s mission, encapsulated by its motto “View the Invisible, Know the Unknown,” focuses on uncovering hidden insights in medical data to enhance patient care and support healthcare professionals.

Vuno Homepage

Key AI Solutions in Radiology

VUNO has developed a suite of AI-driven products aimed at improving diagnostic accuracy and efficiency in radiology:​

  • VUNO Med®-Chest X-ray™: This AI-based diagnostic support system assists in detecting abnormalities in chest radiographs, facilitating early identification of thoracic diseases.
  • VUNO Med®-LungCT AI™: Designed to detect, characterize and quantify pulmonary nodules on CT images. This solution aids in the early diagnosis and management of lung cancer.
  • VUNO Med®-DeepBrain™: An AI-based medical device that supports the diagnosis of neurodegenerative diseases by quantifying brain atrophy and small vessel disease burden through brain MR images.

How Their AI Works

VUNO’s AI solutions use deep learning algorithms trained on extensive medical datasets to analyze various types of medical imaging data. For instance, VUNO Med®-Chest X-ray™ processes chest radiographs to detect and localize major thoracic abnormalities and provides clinicians with prompt and accurate assessments. Similarly, VUNO Med®-LungCT AI™ evaluates CT scans to identify and quantify pulmonary nodules which aids in the early detection of potential malignancies. 

Real-World Applications

VUNO’s technologies have been integrated into clinical settings with notable outcomes:​

  • Clinical Validation: A study published in the journal Radiology demonstrated that VUNO Med®-Chest X-ray™ improved the detection and localization of major thoracic abnormalities while reducing reading time by an average of 50%. This enhancement was consistent across clinicians with varying levels of experience.
  • Regulatory Approvals: VUNO has received Class IIa CE markings for five of its AI-based medical solutions, including VUNO Med®-Chest X-ray™, VUNO Med®-LungCT AI™ and VUNO Med®-BoneAge™, facilitating their adoption in European healthcare markets.

Recognition and Industry Impact

VUNO’s contributions to medical AI have been acknowledged through various accolades and milestones:​

  • Patents and Intellectual Property: The company secured a U.S. patent for its AI-based medical image analysis technology and showed its innovative approach and commitment to advancing medical imaging.
  • Global Presence: VUNO has showcased its AI solutions and research findings at international platforms such as the Radiological Society of North America (RSNA), highlighting its role in shaping the future of radiology.

9️⃣ Therapixel

Founded in 2013, Therapixel is a French artificial intelligence company specializing in medical imaging with a strong focus on breast cancer detection. The company develops AI-powered software designed to assist radiologists in identifying and diagnosing breast abnormalities with greater accuracy and efficiency. With a mission to enhance early cancer detection and improve clinical workflows, Therapixel is redefining mammography screening through advanced deep-learning technology.

Therapixel Homepage

Key AI Solutions in Radiology

Therapixel has pioneered BreastScreening AI, an innovative AI-driven solution tailored for mammography analysis:

  • MammoScreen®: An FDA-cleared AI system that assists radiologists by analyzing mammograms and highlighting suspicious areas, prioritizing cases that require deeper review.
  • MammoScreen® Score: A risk-scoring feature that provides a confidence level for detected abnormalities and helps clinicians to focus on high-risk findings.
  • Automated Triage: AI-powered workflow optimization that helps radiologists manage caseloads efficiently by flagging urgent cases first.

How Their AI Works

Therapixel’s AI software processes mammographic images using deep learning models trained on extensive datasets of breast cancer cases. The MammoScreen® AI detects anomalies in dense breast tissue, assigns a confidence score to each finding and integrates seamlessly into existing radiology workflows. The system aids radiologists in reducing false positives and negatives, improving both detection rates and diagnostic accuracy.

Real-World Applications

Therapixel’s solutions have been deployed in clinical environments, delivering measurable benefits:

  • Breast Cancer Screening Programs: MammoScreen® is used in healthcare facilities to assist radiologists in identifying early-stage breast cancer.
  • Radiology Efficiency Improvement: AI-powered triage reduces reading times which allows specialists to focus on complex cases.
  • Reduction in Unnecessary Biopsies: The MammoScreen® Score helps minimize unnecessary invasive procedures by providing risk assessments.

Recognition and Industry Impact

Therapixel has received international recognition for its groundbreaking AI technology:

  • Regulatory Approvals: MammoScreen® has FDA clearance and CE marking, validating its safety and effectiveness for clinical use.
  • Industry Awards: Winner of the Digital Mammography Challenge organized by the U.S. Department of Defense, highlighting its superior AI capabilities.
  • Adoption in Europe and North America: Expanding its presence in hospitals and diagnostic centers across key global markets.

🔟 Perspectum

Founded in 2012 and headquartered in Oxford, UK, Perspectum is a pioneering medical technology company specializing in AI-driven imaging solutions for liver disease, metabolic disorders and oncology. The company leverages advanced imaging analytics and artificial intelligence to enhance the precision of diagnostic assessments which reduces the need for invasive procedures like biopsies. With a mission to improve patient outcomes through non-invasive and data-rich imaging solutions, Perspectum is transforming the landscape of radiology.

Perspectum Homepage

Key AI Solutions in Radiology

Perspectum has developed a range of AI-powered imaging solutions that offer detailed insights into liver health and other metabolic conditions:

  • LiverMultiScan®: A non-invasive imaging tool that quantifies liver fat, iron and fibrosis, aiding in the diagnosis of conditions like non-alcoholic fatty liver disease (NAFLD) and cirrhosis.
  • Hepatica®: AI-driven software designed for pre-surgical liver assessment and helping the clinicians evaluate liver function before procedures like transplantation or resection.
  • CoverScan®: A whole-body MRI analysis tool that provides organ health assessments, particularly useful for monitoring long-term metabolic and inflammatory conditions.
  • MRCP+®: An AI-enhanced imaging solution for assessing bile ducts and pancreatic disorders with improved clarity and precision.

How Their AI Works

Perspectum’s AI solutions process multi-parametric MRI scans, extracting quantitative biomarkers that reflect organ health. Instead of relying on traditional subjective assessments, its deep-learning algorithms analyze tissue properties, detect abnormalities and provide clinicians with objective and data-driven insights. For example, LiverMultiScan® measures liver tissue composition which allows physicians to detect and monitor conditions like fatty liver disease, fibrosis and hemochromatosis without invasive procedures.

Real-World Applications

Perspectum’s imaging technology is widely adopted in clinical settings, delivering tangible benefits:

  • Early Liver Disease Detection: LiverMultiScan® enables earlier and more accurate detection of liver conditions and reduces dependence on invasive biopsies.
  • Oncology Support: AI-driven imaging tools assist oncologists in monitoring tumor progression and treatment responses.
  • Global Clinical Adoption: Used in major hospitals and research institutions worldwide and improving diagnostic precision for radiologists.

Recognition and Industry Impact

Perspectum has received widespread recognition for its contributions to AI-powered medical imaging:

  • Regulatory Approvals: LiverMultiScan® holds FDA clearance and CE marking, validating its reliability in clinical practice.
  • Collaborations with Top Medical Institutions: Partnering with major research centers to advance liver and metabolic disease diagnostics.
  • Expansion in the U.S. and Europe: Increasing adoption of AI-based liver imaging in leading hospitals and diagnostic centers.

​Future Innovations of These Radiology AI Companies

As of 2025, leading radiology AI companies are pioneering advancements to enhance diagnostic accuracy, streamline workflows and improve patient outcomes. Here are their expected innovations:​

  • Qure.ai – AI Assistance for Accelerated Healthcare
    Qure.ai is on a mission to provide accessible, affordable and timely assistance to healthcare professionals. As part of the EDISON Alliance’s 1 Billion Lives Challenge, Qure.ai is in collaboration with AstraZeneca and aims to screen 5 million patients by 2025. ​
  • Aidoc – Advancing AI-Powered Radiology
    Aidoc continues to enhance its AI solutions, integrating advanced algorithms to assist radiologists in efficiently identifying critical conditions across various imaging modalities.​
  • DeepTek – Transforming Radiology with Responsible AI
    DeepTek.ai is sparking a revolution in radiology with Responsible AI, pioneering transformative solutions like Augmento and Genki and reshaping global healthcare with innovation and transparency.
  • Annalise.ai – AI-Assisted Chest X-Ray Diagnostics
    Annalise.ai has developed AI assistance for radiologic diagnosis of chest X-rays, acting as a “spell check” to identify areas of interest and suggest potential diagnoses, aiding radiologists in their assessments.
    Also Read: Medical AI assistants
  • Lunit – AI Solutions for Medical Imaging
    Lunit is advancing its AI solutions to enhance the accuracy and efficiency of medical imaging which aids in the early detection and treatment of diseases.​
  • Brainomix Limited – AI in Stroke Imaging
    Brainomix is developing AI-driven imaging solutions to assist in the rapid diagnosis and treatment of stroke patients which aims to improve clinical outcomes.​
  • Subtle Medical – Enhancing Imaging with AI
    Subtle Medical is leveraging AI to improve the quality and speed of medical imaging which reduces scan times and enhancing patient comfort.​
  • Vuno – AI Integration in Radiology
    Vuno is integrating AI into radiology practices to assist in the accurate and efficient analysis of medical images, supporting clinicians in diagnosis and treatment planning.​
  • Therapixel – AI for Breast Imaging
    Therapixel is continuously developing AI solutions to improve the accuracy of breast imaging and aids in the early detection of breast cancer.​
  • Perspectum – AI in Liver Imaging
    Perspectum is advancing healthcare AI applications in liver imaging to enhance the diagnosis and monitoring of liver diseases, providing non-invasive solutions for patient care.​

Common Queries About Radiology AI Companies

Here are frequently asked questions about Top 10 Radiology AI Companies;

Is AI being used in radiology?

Yes, AI is widely used in radiology to help doctors analyze medical images like X-rays, CT scans and MRIs. AI can quickly detect patterns, highlight abnormalities and assist radiologists in making more accurate and faster diagnoses.

Which company is leading AI?

Several companies lead in AI for radiology, including Qure.ai, Aidoc, Lunit and Annalise.ai. These companies develop advanced AI tools that assist radiologists in detecting diseases like lung cancer, strokes, and fractures with high precision.

Is Rad AI a legit company?

Yes, Rad AI is a legitimate company specializing in AI-powered automation for radiology. It focuses on reducing workload for radiologists by generating AI-assisted reports and improving workflow efficiency in medical imaging.

Will radiologists be replaced by AI?

No, AI is designed to assist radiologists, not replace them. While AI can analyze images and detect patterns, radiologists are still needed to interpret findings, make complex medical decisions and provide patient care.

How often are radiologists wrong?

Radiologists are highly trained professionals, but like all medical experts, they can make mistakes. Studies suggest that diagnostic errors in radiology occur in about 3-5% of cases, which is why AI is being developed to help reduce errors and improve accuracy.

Is AI in radiology only used for detecting cancer?

No, AI in radiology is not just for cancer detection. It helps identify a wide range of conditions including lung diseases, strokes, fractures and brain disorders, making diagnoses faster and more accurate.

Do radiology AI tools work without human supervision?

No, AI tools in radiology always need human supervision. They assist radiologists by analyzing images and highlighting potential issues, but final decisions are always made by trained medical professionals.

Are AI-powered radiology tools expensive?

The cost of AI tools varies, but many companies offer flexible pricing based on hospital size and usage. While some AI solutions require significant investment, they can save costs in the long run by improving efficiency and reducing diagnostic errors.

Can AI diagnose diseases better than a human radiologist?

AI can sometimes detect patterns that humans might miss, but it does not replace a radiologist’s expertise. The best results come when AI and radiologists work together, combining AI’s speed with human judgment.

Do all hospitals use AI in radiology?

No, not all hospitals use AI in radiology yet. Larger medical centers and advanced hospitals are adopting AI faster, but many smaller hospitals are still in the early stages of using these technologies.





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M Hassaan

A tech enthusiast exploring how emerging technologies shape our lives, especially AI advancements in healthcare.


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