Healthcare AI

Data provides a life-giving pulse to Healthcare AI. Collect, De-identify and Annotate large datasets by domain experts in Healthcare

There’s an increasing demand for healthcare-based innovation, and AI plays a critical role by processing massive data sets that are far beyond the scope of human ability.

80% of all healthcare data is unstructured and inaccessible for further processing. This limits the quantity of usable data and also limits a healthcare organization’s decision-making capabilities. Unless you turn to Dataseeds.

We have a deep understanding of healthcare terminologies to unlock its potential as a result of years of experience in data transcription, de-identification, and annotation. Add to this we can also deliver the exact healthcare data you need to improve your AI engine.

Key Point Annotation

The Key Point image data annotation recognizes facial gestures, human poses, expressions, emotions, body language, and sentiments through the connection of multiple dots.
Key Point Annotation

The Key Point image data annotation recognizes facial gestures, human poses, expressions, emotions, body language, and sentiments through the connection of multiple dots.
Image Annotation

Strategic planning
for optimal growth

Helping AI with training data derived from X-rays, CT scans, MRIs, etc., for AI-powered models and applications to improve medical practice, clinical management, and healthcare delivery

  • Optimize resource allocation
  • Adapt to market changes
  • Achieve long-term goals

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Waveform Annotation

Using data annotation & labeling to classify features and segment regions of interests within waveforms for training predictive algorithms & AI models that detect acute heart diseases and neurological conditions.
AI Medical Coding

Medical coding involves the conversion of healthcare diagnoses, procedures, medical services, and equipment into universal medical alphanumeric codes. Codes for diagnoses and procedures are derived from medical records.
Text Annotation

Quickly organize and enrich large amounts of text data for developing AI with accurately annotated & labeled text strings, hand-written notes, prescriptions, insurance verification reports, etc.
2D Bounding Boxes

It defines the boundaries of objects in a two-dimensional space using graphic representations. The boxes are usually used in computer vision and ML applications for separating areas of interest for objects.
Object Detection

This deals with detection of instances of semantic objects pertaining to a certain class (humans, buildings, or cars) with respect to digital images and videos.
Key Point Annotation

The Key Point image data annotation recognizes facial gestures, human poses, expressions, emotions, body language, and sentiments through the connection of multiple dots.