Audience

Clinical Trial Sponsors, CROs, Clinical Sites

About ClinicalWave.ai

ClinicalWave.ai built on AWS cloud platform is an integrated AI platform tailored for life sciences organizations. It offers automated redaction and extraction of sensitive data and leverages cutting-edge NLP technology to extract valuable insights from clinical documents, streamlining your workflows like never before. It consists of:

1. ClinRedact AI- Our Redaction product which automatically identifies and redacts sensitive information in clinical documents, saving time and ensuring data integrity.

2. ClinExtract AI- The AI Data Extraction product that utilizes NLP and machine learning to extract relevant data points from clinical documents, providing valuable insights and streamlining workflows.

3. ClinDICOM AI- Experience the power of our feature-rich DICOM data extraction and redaction product offering targeted redaction, customizable rules, intelligent contextual analysis, audit trail compliance, redaction preview, and a user-friendly interface.

Pricing

Free Trial:
Free Trial available.

Integrations

No integrations listed.

Ratings/Reviews

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Company Information

Cloudbyz
Founded: 2014
United States
www.cloudbyz.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
24/7 Live Support
Online

ClinicalWave.ai Frequently Asked Questions

Q: What kinds of users and organization types does ClinicalWave.ai work with?
Q: What languages does ClinicalWave.ai support in their product?
Q: What kind of support options does ClinicalWave.ai offer?
Q: What type of training does ClinicalWave.ai provide?
Q: Does ClinicalWave.ai offer a free trial?

ClinicalWave.ai Product Features

Artificial Intelligence

For Healthcare
Multi-Language
Chatbot
For Sales
Rules-Based Automation
Machine Learning
Natural Language Processing
Predictive Analytics
Virtual Personal Assistant (VPA)
Process/Workflow Automation
For eCommerce
Image Recognition

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)