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Data Annotation for Health

Enhance healthcare AI with precise data annotation, enabling accurate medical image analysis, diagnostics, and improved patient care solutions.

X-Ray

X-Ray annotation involves labeling critical areas within X-ray images, such as bones, organs, or abnormalities, to train AI models for accurate diagnostics and medical image analysis. This process supports automated detection of fractures, lung diseases, and other health conditions, enhancing clinical decision-making.

X-Ray Cancer Detection

X-Ray cancer detection involves annotating medical images to identify signs of cancer, such as tumors or abnormal tissue patterns. This process enables AI models to assist healthcare professionals in early diagnosis, improving treatment planning and patient outcomes through accurate and timely analysis.

Surgical Assistance

Surgical assistance leverages AI and data annotation to enhance precision during procedures. By analyzing medical images and tracking surgical tools in real time, it supports surgeons with accurate guidance, improves decision-making, and reduces the risk of complications, leading to better patient outcomes.

Cancer Screening

Cancer screening involves using advanced AI models and annotated medical data to detect early signs of cancer. By analyzing imaging data such as X-rays, CT scans, and MRIs, this technology supports healthcare professionals in identifying abnormalities, enabling timely diagnosis and improved treatment outcomes.

Teeth X-Ray Issue Detection

Teeth X-ray issue detection involves analyzing annotated dental X-ray images to identify problems such as cavities, fractures, impacted teeth, and gum diseases. This advanced technique supports dentists in accurate diagnostics, treatment planning, and improving overall dental care outcomes.

Brain Tumors Screening

Brain tumor screening involves the analysis of annotated brain imaging data, such as MRIs and CT scans, to detect and classify tumors. This process aids healthcare professionals in early diagnosis, precise treatment planning, and monitoring disease progression, enhancing patient care and outcomes.

Pill Recognition

Pill recognition involves using AI and image annotation to identify and classify pharmaceutical tablets based on shape, size, and markings. This technology supports medication management, improving accuracy in prescriptions, drug interactions, and patient safety.

PPE Monitoring

PPE monitoring involves the use of AI and real-time image analysis to ensure healthcare workers are wearing the appropriate personal protective equipment (PPE). This technology helps maintain safety standards, reduce infection risks, and enhance workplace safety in high-risk environments.

Save Both Time and Money!

Save Both Time and Money!

Discover why Unitlab AI stands out as the ultimate solution for your data annotation needs.

15X

Faster Data Annotation
Auto Data Collect
Auto Data Labeling
Auto Model Validation
Auto QA
Auto Model-In-the-Loop

60%

Free Up AI Engineer’s Time
Dataset Curation
Dataset Version Control
Dataset QA
AI Model Integration
AI Model Validation

5X

Save AI Development Cost
5X saving in Data Collection
10X saving in Data Labeling
5X saving in Dataset Curation
5X saving in AI Development
5X saving in Model Validation

Annotation types for Healthcare

Healthcare annotation involves labeling medical data, such as images and records, to train AI models for diagnostics, disease detection, and treatment planning, enhancing healthcare solutions.

Bounding Box for Healthcare

Bounding box annotation for healthcare involves marking rectangular regions around areas of interest in medical images, such as tumors, organs, or anomalies. This technique is essential for training AI models in diagnostics, medical imaging analysis, and automated healthcare solutions.

Segmentation for Healthcare

Segmentation for object classification in healthcare involves precisely outlining and labeling regions in medical images, such as organs, tissues, or abnormalities. This advanced technique enables AI models to perform accurate diagnostics, enhance image analysis, and support personalized treatment planning.

FAQs

Is Unitlab a free Data Annotation Tool?

Yes, it is! No credit card is required to use Unitlab. You can use the Unitlab tool for free forever as long as you stay within the set limits. However, for more extensive use, Unitlab offers a subscription model. This model's pricing is customized to your organization's specific usage, data requirements, and any extra services you might need, like our advanced labeling solutions. To get a tailored quote and further information, please connect with our sales team.

Can I switch my plan after I create my account?

Yes, you can start working with a Free Plan and then change plans in the future as you evaluate which is best for you.

How is the Price of a Data Labeling Service Calculated?

Data Labeling Services start at just $0.02 per image. The base price depends on the types of data annotation, the number of classes, and the average number of objects to annotate per image.

How Can I Set Up the Unitlab On-Premises Solution in My Local Workspace?

Unitlab offers a range of scalable On-Premises solutions! Contact Us to discuss your requirements. You can purchase Unitlab's On-Premises solution after consulting with us. We help you install our entire annotation system in your workspace.

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