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What is Nero AI?

Nero AI is dedicated to improving your digital experience by providing cutting-edge AI tools for enlarging images and streamlining file organization. Our offerings include accurate PC benchmarks that reflect real-world conditions, enabling you to evaluate performance effectively. Thanks to our sophisticated artificial intelligence, you can enhance image resolution quickly and effortlessly without sacrificing quality. The latest 12th generation Intel® Core™ processors enhance compatibility with our technology, allowing Intel OpenVINO to power Nero AI Photo Tagger in swiftly sorting your images into over 160 unique categories. Our comprehensive PC benchmark assesses your CPU’s multi-core performance while optimizing your GPU for real-world multimedia applications. We are committed to the revolutionary potential of artificial intelligence and understand its significance in shaping tomorrow's technology, which drives our substantial investments in AI development. Dive into the endless possibilities with Nero, where you can experience firsthand the transformative capabilities of AI, and we encourage you to utilize the latest Intel processors to maximize your computer's potential. By choosing Nero AI, you are embracing a new era of technology that promises to significantly enhance your digital existence. Discover how our innovative solutions can change the way you interact with your digital world.

What is EndoAim?

The ASUS EndoAim AI Endoscopy System is an advanced, compact AI solution designed to assist gastroenterologists in detecting and classifying polyps during colonoscopy procedures. Utilizing Intel Core processors in conjunction with the OpenVINO toolkit, EndoAim can process images at an impressive rate of 60 frames per second while maintaining a latency of less than 70 milliseconds, allowing for quick identification of even the smallest or most elusive polyps. The system effectively highlights suspected polyps on the screen and categorizes them as adenoma or non-adenoma, providing healthcare professionals with real-time feedback. Additionally, EndoAim features a user-friendly one-click option for measuring the size of polyps, which improves the assessment of their dimensions compared to traditional visual estimation methods. This cutting-edge system integrates smoothly with current colonoscopy equipment and only requires the addition of a mini PC, making it a practical choice for medical facilities. It has already been implemented in over 30 healthcare institutions throughout Taiwan, reflecting the increasing reliance on AI technologies to enhance diagnostic precision in gastroenterological care. As the demand for efficient and accurate diagnostic tools grows, systems like EndoAim are likely to play a pivotal role in shaping the future of medical imaging.

Media

Media

Integrations Supported

OpenVINO
Qualcomm Cloud AI SDK

Integrations Supported

OpenVINO
Qualcomm Cloud AI SDK

API Availability

Has API

API Availability

Has API

Pricing Information

$19.95 per month
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

Nero AI

Company Website

ai.nero.com

Company Facts

Organization Name

ASUS

Date Founded

1989

Company Location

China

Company Website

www.asus.com/mobile-handhelds/wearable-healthcare/asus-endoaim-ai-endoscopy-system/asus-endoaim/

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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