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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 D2P?

The D2P® software, which has received FDA clearance, works seamlessly with 3D Systems printers to enable healthcare professionals such as surgeons, radiologists, lab technicians, and device designers to create high-quality 3D models and physical prints for diagnostic purposes efficiently. By allowing users to import DICOM images directly into its standalone modular software, D2P simplifies the process of 3D model segmentation and preparation, all from a single workstation. As a medical device, this software not only aids in surgical planning but also facilitates the production of 3D-printed anatomical models for diagnostic applications. Its advanced image segmentation toolkit, coupled with immersive virtual reality (VR) visualization, minimizes the time and resources necessary for clinicians and point-of-care (POC) personnel to generate tailored anatomical models for their patients. In addition, the digital models produced through D2P are compatible with a variety of platforms like 3D printers, VR systems, surgical planning tools, and CAD software, which greatly enhances the adaptability and efficiency of medical practices. This cutting-edge methodology not only streamlines surgical preparations but also promotes teamwork among healthcare providers by equipping them with accurate and easily accessible anatomical representations, ultimately leading to improved patient outcomes. By bridging technology and medicine, D2P serves as a vital resource in advancing the capabilities of modern healthcare.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

annalise.ai

Date Founded

2019

Company Location

Australia

Company Website

annalise.ai/

Company Facts

Organization Name

Oqton

Date Founded

2017

Company Location

Belgium

Company Website

oqton.com/d2p/

Categories and Features

Medical Imaging

Not specified

Categories and Features

3D Printing

Not specified

Medical Imaging

Not specified

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