Annotation Labs

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Annotation for Healthcare AI & Medical Data Extraction Services

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Annotations for Medical, Healthcare, Robot Surgery ML & AI

Need of data annotation in healthcare and medical industry

Healthcare industry features most of the existing data as unstructured without digitalization. The development of superior AI-based healthcare applications such as medical data extraction tools, autonomous robot assisted surgery, digital pathology reports, and healthcare chatbot requires excellent data transcription, identification, and annotation to train the computer vision deep learning models.

How is data labeling used for healthcare & medical industry?

Text Annotation NLP Services for Medical Data Extraction
Semantic Segmentation for Radiology, Pathology & XRay Reports & Data

NLP to document prescriptions, journals, medical books

Semantic Segmentation for Radiology, Pathology & XRay Reports & Data

Semantic segmentation for AI radiology, x-rays and digital pathology

Point Annotation for Medical Reports & Healthcare AI
Text Extraction from Medical Journals & Prescriptions for Medical AI

Point annotation to label smaller objects in medical reports

Text Extraction from Medical Journals & Prescriptions for Medical AI

Text extraction methods using advanced medical lexicon to train AI assistants and chatbots

Computer Vision for Robotic Surgery in Medical & Healthcare AI
Panoptic Segmentation for Medical & Healthcare Reports

Polygon annotation to assist in training data for robotic surgery and diagnosis

Panoptic Segmentation for Medical & Healthcare Reports

Panoptic segmentation for medical image annotation

Annotation tools used in medical & healthcare industry

With our deep understanding of healthcare terminologies and annotation capabilities, we take a flexible approach to work closely with you.

Our beliefs behind each annotations

Core Value: Data Security & Privacy

Data Security & Privacy

Core Value: Fast Delivery & High Accuracy

Fast Delivery with High Accuracy

Core Value: Low Cost Pricing

Cost Effective Pricing

Core Value: Scalable Solutions by Expert

Scalable Solution by Experts

What is a medical annotator?

A medical annotator is an image or video annotator specializing in labeling or annotating medical-related images and videos. A medical annotator is involved in annotating medical imaging data, including CT, MRI scans, Ultrasound, and X-rays. Medical annotators help in the technological development of AI algorithms used in the medical field to improve patient-doctor interactions.

How is AI used in the medical field?

Artificial intelligence is revolutionizing processes in the field of medicine. AI is extensively fielded to diagnose patients, is used in the research and development of drugs, and is used to transcribe medical documents for ease of retrieval. It is used to improve communication between patients and physicians. In recent years, AI has been used to treat patients remotely.

How to extract data from EHR?

Electronic Health Records (EHR) allow healthcare providers to collect, retrieve and report health data. The process of extracting health data from EHR is straightforward, involving retrieving and extracting data from data records such as prescriptions, lab results, etc. However, the data extracted is specific to the procedures carried out by each healthcare provider.

How to extract data from EMR?

The first process in Electronic Medical Records (EMR) data extraction is to export all available data to the new system in a usable format. The text notes are processed using natural language processing (NLP) tools. AI is also used to extract unstructured data to derive value. API specifically developed for medical data extraction can also be used to integrate with EMR and extract valuable data.

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