Extract named entities from medical text
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Medical Ner App is a specialized tool designed to extract named entities from medical text, particularly from scanned documents. It leverages advanced AI technology to identify and categorize key medical entities such as symptoms, diagnoses, medications, and treatments. This app is particularly useful for healthcare professionals, researchers, and anyone needing to quickly extract relevant information from medical documents.
• Text Extraction from Scanned Documents: Converts scanned medical documents into editable text for easy processing.
• Named Entity Recognition (NER): Automatically identifies and categorizes medical entities such as symptoms, medications, and diagnoses.
• Real-Time Processing: Provides instant results, saving time for users.
• User-Friendly Interface: Designed for ease of use, even for those with limited technical expertise.
• Export Results: Allows users to export extracted data in formats like CSV or Excel for further analysis.
• Support for Multiple Formats: Works with various document formats, including PDF, JPEG, and PNG.
What types of documents does Medical Ner App support?
Medical Ner App supports a wide range of document formats, including PDF, JPEG, PNG, and TIFF scanned documents.
How accurate is the named entity recognition?
The accuracy of the named entity recognition depends on the quality of the scanned document and the complexity of the text. However, the app is optimized for high accuracy in medical contexts.
Is my data secure when using Medical Ner App?
Yes, the app ensures that your data remains secure and confidential. All processing is done locally on your device unless you choose to export the data.