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.

Integrations

No integrations listed.

Screenshots and Video

annalise.ai Screenshot 1

Company Facts

Company Name:
annalise.ai
Date Founded:
2019
Company Location:
Australia
Company Website:
annalise.ai/

Product Details

Deployment
SaaS
Training Options
Online Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

annalise.ai Categories and Features

Medical Imaging Software

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