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What is annalise.ai?

By reviewing up to three images for each case, which include both frontal and lateral views, medical professionals can significantly improve their diagnostic accuracy by linking insights gained from different perspectives. The development of Annalise CXR’s comprehensive ontology tree was informed by clinical experience, aiming to compile an exhaustive list of findings that are vital and advantageous for healthcare providers. Crafted by clinicians who understand the importance of a seamless workflow, Annalise CXR features a versatile user interface that integrates effortlessly with existing PACS and RIS systems. Physicians can begin utilizing Annalise CXR in under ten minutes, thereby greatly minimizing the learning curve associated with new technologies. Additionally, the confidence bar feature provides insights into the likelihood of a finding and the uncertainty surrounding the AI model, allowing clinicians to interpret the results with enhanced certainty. This cutting-edge methodology not only simplifies the diagnostic workflow but also contributes to improved clinical decision-making processes, ultimately leading to better patient outcomes. As a result, healthcare professionals are equipped with powerful tools to deliver more accurate diagnoses efficiently.

What is NilRead?

Healthcare professionals are able to access a thorough history of medical images, which encompasses both DICOM and non-DICOM formats, through a radiology PACS or VNA. This capability extends to various specialties, including dermatology, surgery, and radiation oncology. NilRead is an advanced diagnostic viewer that is certified with FDA 510(k), CE marking, and CE clearance. It supports diagnostic assessment for mammography, digital breast tomosynthesis, and offers 3D rendering as well as curvilinear reformatting capabilities. The extensive visualization toolsets and features of NilRead facilitate comprehensive workflows tailored for specialty readers and radiologists alike. Additionally, it incorporates rules-based protocols and specified user permissions to enhance functionality. Users can take advantage of multi-monitor setups for improved viewing experiences. Furthermore, the platform includes cross-enterprise image communication and sharing tools that foster physician collaboration, enable remote diagnosis, and facilitate obtaining second opinions. This ensures that users can securely share study links with colleagues and peers, promoting real-time interactive collaboration for enhanced patient care. Ultimately, the integration of these features significantly streamlines the diagnostic process.

Media

Media

Integrations Supported

ADA 3D STL Viewer
XDS

Integrations Supported

ADA 3D STL Viewer
XDS

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

annalise.ai

Date Founded

2019

Company Location

Australia

Company Website

annalise.ai/

Company Facts

Organization Name

Hyland

Date Founded

1991

Company Location

United States

Company Website

www.hyland.com/en/solutions/products/nilread

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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