AIDir.app
  • Hot AI Tools
  • New AI Tools
  • AI Tools Category
AIDir.app
AIDir.app

Save this website for future use! Free to use, no login required.

About

  • Blog

© 2025 • AIDir.app All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Extract text from scanned documents
Medical Ner App

Medical Ner App

Extract named entities from medical text

You May Also Like

View All
📈

Spirit.AI

Spirit.AI

0
🌍

Ai Assist

Query PDF documents using natural language

0
🕯

Candle BERT Semantic Similarity Wasm

Find similar sentences in your text using search queries

0
⚡

Verbagpt Spacetest001

Search for similar text in documents

0
🏆

YOLOv10 Document Layout Analysis

Analyze scanned documents to detect and label content

36
📑

Text Extractor

Extract text from documents or images

0
⚡

Spacy-en Core Web Sm

Process text to extract entities and details

1
📜

Historical OCR

Employs Mistral OCR for transcribing historical data

1
⚡

Nake Bge Base Zh V1.5

Search... using text for relevant documents

0
🏢

Pdf2text

Extract text from PDF and answer questions

0
🏃

Semantic Search With Retrieve And Rerank

Find relevant passages in documents using semantic search

66
🦉

DocQuery — Document Query Engine

Extract information from documents by asking questions

0

What is Medical Ner App ?

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.

Features

• 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.

How to use Medical Ner App ?

  1. Launch the App: Open the Medical Ner App on your device.
  2. Upload Your Document: Select the scanned medical document you wish to process.
  3. Select Extraction Options: Customize your settings, such as specifying the type of entities to extract (e.g., symptoms, medications).
  4. Start Processing: Click the "Process" button to begin extracting text and entities.
  5. View Results: Review the extracted data, which will be displayed in a structured format.
  6. Export Data: Save or share the results as needed.

Frequently Asked Questions

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.

Recommended Category

View All
🎵

Music Generation

🎭

Character Animation

🎙️

Transcribe podcast audio to text

💬

Add subtitles to a video

🌍

Language Translation

🔍

Detect objects in an image

🔖

Put a logo on an image

🗂️

Dataset Creation

💡

Change the lighting in a photo

💻

Generate an application

🎵

Generate music for a video

🧹

Remove objects from a photo

🎨

Style Transfer

👤

Face Recognition

🔧

Fine Tuning Tools