Data Annotation Services
to Empower Radiology AI

Our data annotation services provide meticulously labeled data to ensure the highest accuracy in AI model training.
With our team of specialists, we offer precise and comprehensive annotations across various medical imaging modalities.

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The 3D Approach

Driving AI innovation through Data, Diagnosis, and Delivery—Ezewok empowers smarter healthcare solutions with precision-labeled datasets.

  • Data
  • Diagnosis
  • Delivery
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Why Choose Onto GPT?

Transform Your AI Projects with Expert Data Annotation

  • Expert Team
  • Quality Assurance
  • Scalability
  • Customization
Visit Our OntoGPT Website Now
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Powering AI Innovation with Healthcare Data Training


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Finding the Right Healthcare Datasets

Accessing reliable healthcare data is hard. We deliver compliant, annotated datasets to accelerate your AI model.

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Accelerating AI-Driven Diagnostic Solutions

We provide accurately labeled medical data to power AI tools that improve diagnostics, treatment, and patient care.

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Precision Imaging for Diagnosis

We annotate X-rays, CTs, MRIs, and ultrasounds to help AI detect diseases faster and more accurately.

Fueling Intelligent AI with Trusted Data Partnerships

We deliver tailored, high-precision annotation services—enabling scalable, secure, and accurate AI outcomes across industries.

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Key Features of Data Annotation Services

Unlock the full potential of your AI models with OntoGPT's precise and scalable data annotation services. From text and images to audio and video, our expert teams ensure high-quality, secure, and efficient labeling tailored to your industry's needs.

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Medical Imaging Annotations

We provide accurate annotations for CT, X-ray, MRI, and Ultrasound images—supporting AI models in diagnostics and training

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Anatomical & Pathological Annotations

Our team identifies anatomical structures and marks pathological findings to create structured, medically relevant datasets.

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Customized Annotation Services

We offer tailored annotation solutions based on your project needs, medical focus, and AI development goals.

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Data Collection

We securely collect high-quality medical images directly from clients to ensure dataset relevance and integrity.

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Expert Annotation & Quality Control

All images are annotated by trained professionals and go through a rigorous multi-step quality check process.

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Secure & Timely Delivery

We ensure fast, encrypted delivery of fully annotated datasets—ready for model training and clinical validation.

Frequently Asked Questions

Find answers to common questions about EZEWOK,
including features, usage, and troubleshooting tips to help you get
the most out of our solution.
What are data annotation services?
Service annotation refers to tagging or marking specific information to describe its function or meaning. In teleradiology services in US, this includes labeling medical scans to indicate pathologies or anatomical structures, helping AI assist radiologists during remote diagnostics.
What is the benefit of data annotation?
Data annotation helps AI models become more accurate, reducing errors in diagnosis. For teleradiology services in US, this improves turnaround time, enhances diagnostic precision, and supports scalable healthcare delivery across different states and time zones.
What is annotation used for?
Annotation is used to teach AI systems how to interpret and analyze data correctly. In teleradiology services in US, it helps radiologists use AI to detect abnormalities faster, making diagnostics more consistent and efficient across remote locations.
What types of medical imaging do you annotate?
We annotate CT scans, MRIs, X-rays, and ultrasounds. This supports AI training for faster analysis in teleradiology services in US, where high-quality, labeled imaging is key for reliable remote reporting.
Can annotations be customized to project requirements?
Yes. We tailor annotations based on the medical use case, such as focusing on orthopedic or neurological imaging. This is especially useful for teleradiology services in US, where clinics may have specific diagnostic needs across various specialties.
How secure is the data annotation process?
We use HIPAA-compliant protocols and end-to-end encryption. This level of security is essential for teleradiology services in US, where patient data confidentiality must be maintained during cloud-based collaborations.
What is a data annotation example?
An example is labeling a CT scan to highlight a brain tumor. This annotated scan helps AI systems recognize similar conditions. For teleradiology services in US, such examples are critical for building reliable AI models that support radiologists working remotely.
How is data quality ensured during annotation?
We follow a multi-step quality control process involving trained medical experts. For teleradiology services in US, this ensures that AI-assisted reports meet clinical standards and maintain diagnostic accuracy.
What is a data annotation example?
An example is labeling a CT scan to highlight a brain tumor. This annotated scan helps AI systems recognize similar conditions. For teleradiology services in US, such examples are critical for building reliable AI models that support radiologists working remotely.
How fast is the delivery of annotated datasets?
We offer quick, reliable turnaround times. For teleradiology services in US, this ensures radiologists get annotated data without delay, enabling faster reporting and better patient outcomes.

Customer Reviews and
Success Stories

EzeWok's team has significantly improved the precision of Kakao Brain AI's chest X-ray model by meticulously quality-controlling over 12,000 datasets, ensuring exceptional performance.
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Synapsica Healthcare,

USA

EzeWok's precision in annotating over 20,000 MRI and 10,000 X-ray datasets has been pivotal in developing AI for Synapsica Healthcare, US.

EzeWok annotated 500 MRI pelvis datasets across three views and approximately 15,000 slices for early detection of endometriosis, significantly aiding diagnostic accuracy.

EzeWok annotated 500 MRI pelvis datasets across three views and approximately 15,000 slices for early detection of endometriosis, significantly aiding diagnostic accuracy.

EzeWok's meticulous annotation of CT KUB datasets for stone detection, encompassing 50 patients and 1,000 slices, has provided critical accuracy in diagnosis.

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