Medical data annotation services involve tagging and labeling various types of medical data – such as images, texts, and clinical notes – to train AI models for accurate medical predictions and diagnoses.
5+
Years on the market
1000+
Successfully implemented projects
1000+
Independent Annotators
24/7
Support Availability
90%
hold BS, MS, or PhD in Math/Computer Science
Importance of Healthcare Training Data
We offer high-quality AI training data for developing computer vision applications in healthcare
#1
Optimized Healthcare Training Datasets
Securing the right healthcare training datasets is essential yet challenging due to the scarcity of medical data and strict patient privacy regulations. Whether companies develop their datasets in-house or outsource them, these high-quality datasets are crucial for medical data labeling and annotation. The performance and accuracy of AI-driven healthcare applications heavily depend on the quality of these training datasets.
#2
Driving Diagnostic Automation with AI in Healthcare
Artificial Intelligence is revolutionizing the healthcare industry by automating diagnostics, treatment predictions, gene sequencing, and drug development. However, the successful application of AI in healthcare requires precise and reliable healthcare training data. Medical facilities and equipment manufacturers rely on our premium AI training data to build cutting-edge, automated diagnostic solutions and streamline healthcare processes.
#3
Enhancing Early Disease Detection with Accurate Medical Image Annotation
Our expertise in medical image annotation and labeling empowers healthcare companies to develop sophisticated algorithms for early disease detection. By integrating our high-end training data into AI-based applications—such as X-ray, CT scan, MRI, ultrasound, and radiology systems—healthcare providers can improve diagnostic accuracy and automate surgical procedures, ultimately enhancing patient care and outcomes.
LabelForge’s Medical Annotation Offers
Our high-quality training data empowers AI algorithms to develop automated healthcare systems and innovative medical applications.
Image Annotation
We support medical AI by providing expertly annotated images from X-rays, CT scans, MRIs, and more. This improves clinical management, enhances patient care, and advances healthcare delivery.
Video Annotation
We elevate virtual healthcare and medical education by accurately classifying, categorizing, and segmenting key regions in medical videos, such as recorded surgical procedures.
Audio Annotation
Leveraging our NLP expertise, we precisely annotate and label audio data to build efficient voice-assistant systems, ensuring seamless integration of AI into clinical practice and other voice-enabled healthcare solutions.
Waveform Annotation
We meticulously classify and segment features within waveforms, training predictive algorithms and AI models to detect acute heart conditions and neurological disorders.
AI Medical Coding
Our services convert healthcare diagnoses, procedures, and services into standardized alphanumeric codes derived from medical records, streamlining clinical documentation and enhancing data interoperability.
Text Annotation
We rapidly organize and enrich extensive text data—including handwritten notes, prescriptions, and insurance reports—by providing accurately annotated and labeled text for advanced medical AI solutions.
Use Cases
Radiology
AI trained on annotated X-rays, CT scans, and MRIs for early diagnosis
Pathology
Annotated images enable AI to quickly diagnose severe diseases.
Dermatology
AI models use annotated data to detect and monitor skin conditions.
CT Coronary Angiogram Scans
Annotation helps AI detect narrowed arteries and heart issues.
Ophthalmology
Annotated eye images boost AI screening for ocular diseases and early treatment
Cardiology
AI analyzes annotated echocardiograms to detect heart diseases with precision.
Dentistry
Annotated dental images support AI for accurate diagnosis and treatment planning.
Clinical Session Recording
Annotated recordings capture tone, emotion, and symptoms for mental health.
Health Insurance
Annotated healthcare data streamlines AI claims processing and underwriting.
FAQs
| Category | Medical Annotation | Regular Annotation |
|---|---|---|
| Verification | De-identified and protected by Data Processing Agreements (DPA). | Regular images are easily available. |
| Format | DICOM formats | JPEG, PNG, BMP, and more |
| Resolution | High with 16-Bit Color profiles | 8-Bit Color profile |
| Measurement | Have units of measurement for medical purposes. | Have measurement pertaining to the camera. |
| Compliance | HIPAA compliance is necessary. | Compliance is not required. |
| Images | Several images of the same object is offered from different angles and views. | Distance images are required of different objects. |
| Guide | Must be guided by Radiology controls. | Regular camera settings are accepted. |
| Annotation slice | Multiple slices | Single slice |
LabelForge employs cutting-edge annotation tools, AI-assisted platforms, and expert human input to deliver precise results. These technologies enable efficient labeling of medical images, texts, and audio data for advanced AI applications in healthcare.
Our strict quality assurance processes and extensive annotator training guarantee high precision. We utilize advanced quality control measures to ensure every audio annotation meets the highest standards, prioritizing your project's success.
Interested in Joining Our Team?
In today's tech-driven world, a career in Artificial Intelligence (AI) can be highly rewarding. Join our team of Annotation Specialist, and be a part of the company that creates high-quality training datasets.
Get in Touch with us
Vietnam Office
102 Tran Phu, Mo Lao, Ha Dong, Ha Noi
Give Us A Call
+84 812-436-211
