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What is Dyania Health?

Our platform is meticulously crafted with a focus on regulatory compliance, enhancing the landscape of clinical research by employing advanced algorithms to analyze unstructured EMR data for the identification of critical health conditions. We are at the forefront of innovation, developing state-of-the-art technologies that expand access to transformative healthcare solutions through Clinical Trials. Our passionate team is driven by a mission to save lives by improving access to therapeutic advancements still under investigation. We firmly believe that every patient deserves to be informed and empowered about their options to participate in clinical trials that may provide substantial therapeutic advantages. As a progressive healthcare AI research organization, we have developed a sophisticated computational platform that accurately identifies patients who fulfill an extensive range of criteria necessary for participation in clinical trials, ensuring that those best suited are prioritized for these vital studies. Ultimately, our goal is to transform the way patients discover and engage with potentially life-altering treatment options, fostering a new era of healthcare possibilities. Through these efforts, we aspire to bridge the gap between innovative research and patient access, making a tangible difference in the healthcare landscape.

What is ClinicalWave.ai?

ClinicalWave.ai, hosted on the AWS cloud infrastructure, is a comprehensive AI solution tailored for companies in the life sciences sector. Leveraging advanced natural language processing (NLP) technology, it efficiently extracts crucial insights while automating the removal and extraction of sensitive information from clinical documents. The platform comprises several key components: 1. ClinRedact AI - This redaction tool automatically detects and eliminates sensitive content from clinical records, significantly conserving time while ensuring the integrity of the data. 2. ClinExtract AI - This data extraction solution employs NLP and machine learning algorithms to gather important data from clinical documents, enhancing insights and optimizing operational workflows. 3. ClinDICOM AI - Explore the capabilities of our DICOM data extraction tool, which features targeted redaction, customizable rules, intelligent context analysis, compliance with audit trails, and an intuitive user interface. With these innovative tools, ClinicalWave.ai empowers life sciences companies to handle their clinical documents with greater efficiency and security.

Media

Media

No images available

Integrations Supported

MySQL
SQL

Integrations Supported

MySQL
SQL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dyania Health

Date Founded

2019

Company Location

United States

Company Website

dyaniahealth.com

Company Facts

Organization Name

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.com

Categories and Features

Natural Language Processing

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

Categories and Features

Artificial Intelligence

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

Natural Language Processing

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

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