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Qure
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Qure

Overview
Synopsis

Qure.ai use cutting-edge deep learning technology to help diagnose disease and recommend personalized treatment plans from healthcare imaging data. Worldwide, the number of medical imaging procedures being performed is increasing several times faster than the number of doctors who can interpret them.

Category

AI-based Medical Imaging – General

Features

• Deep learning algorithms
• Algorithm for interpretability
• Imaging solutions

License

Proprietary

Price

Contact for Pricing

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

Qure

What is best?

• Deep learning algorithms
• Algorithm for interpretability
• Imaging solutions

What are the benefits?

• The deep learning algorithms precisely quantify disease and tumor volumes, so that patient response to therapy can be monitored closely.
• Helps diagnose disease and recommend personalized treatment plans from healthcare imaging data

PAT Rating™
Editor Rating
Aggregated User Rating
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Ease of use
7.6
8.1
Features & Functionality
7.6
7.8
Advanced Features
7.6
8.7
Integration
7.6
Performance
7.6
Customer Support
7.6
Implementation
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Bottom Line

Qure.ai use cutting-edge deep learning technology to help diagnose disease and recommend personalized treatment plans from healthcare imaging data.

7.6
Editor Rating
8.2
Aggregated User Rating
1 rating
You have rated this

Qure.ai use cutting-edge deep learning technology to help diagnose disease and recommend personalized treatment plans from healthcare imaging data. Worldwide, the number of medical imaging procedures being performed is increasing several times faster than the number of doctors who can interpret them. Each scan is much more complex and information-rich than it used to be. Physician workload keeps increasing, as does the amount of information that they need to process before reaching a diagnosis. In this setting, the chance of human error increases, and doctors may miss a diagnosis that is evident in hindsight.

Qure’s deep learning algorithms accurately detect and highlight abnormalities, reducing the chances of missing a diagnosis. Each solution is offered as a remotely accessible API or available as a plug-in for your DICOM viewer. Qure is ideal for custom solutions or integration with a PACS system or imaging device. Qure deep learning algorithms precisely quantify disease and tumor volumes, so that patient response to therapy can be monitored closely. Applying deep learning to medical images poses a special set of challenges.

Qure.ai has tailored deep learning algorithms to deal with these challenges and to make the most of the rich 3-dimensional information contained in medical images. One of Qure’s key focus areas is algorithm interpretability, ensuring that the reason for a suggested diagnosis is clear to a doctor. As it develop new solutions and validate them in the clinical setting, Qure publish results at deep learning and medical imaging conferences. Qure believe that science progresses faster with collaborative effort, and that the best solutions are not developed in isolation. In this spirit, it is creates open-source of research.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
Renew & Recommend

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