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What is Visiopharm?

In the last two decades, partnerships with forward-thinking individuals have led to the discovery, comprehension, and minimization of errors from biopsy through data, culminating in remarkable progress in tissue data mining technologies, precision, workflow, and automation. Delve into the fascinating world of image analysis and tissue mining within both multi- and highplexed images, where you can unearth clinically relevant patterns that illuminate disease mechanisms, turning your research tissue images into invaluable insights. Investigate the functionalities of CE-IVD APPs and workflows in image analysis, while also reimagining standardization through AI-driven pathology solutions that bolster diagnostic decision-making processes. The app center acts as your gateway to a vast repository of AI-enhanced applications, including those tailored to meet your unique needs. You can also explore our assortment of publications, guides, webinars, and posters to enrich your knowledge of digital pathology and observe how our software consistently aids our clients in their research endeavors. By harnessing these state-of-the-art tools and resources, you can elevate your work, play a vital role in the evolution of medical science, and pioneer new methods of diagnosis and treatment. The future of pathology is here, and embracing these advancements will undoubtedly propel your contributions to the field.

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

Additional information not provided

Integrations Supported

Additional information not provided

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

Visiopharm

Date Founded

2001

Company Location

Denmark

Company Website

visiopharm.com

Company Facts

Organization Name

Cloudbyz

Date Founded

2014

Company Location

United States

Company Website

www.cloudbyz.com

Categories and Features

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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