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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.

Description

CSAM Arcidis is an efficient and rapid solution specifically crafted for the teleradiology sector. This system can be customized to meet various customer requirements, providing a comprehensive solution for large facilities handling significant data volumes or serving as an affordable, independent application for smaller establishments with lower output. With CSAM Arcidis, transferring an 80-150mb MRI between a radiology institute and a radiologist takes less than a minute, thanks to its advanced encryption and compression techniques. The integration module allows seamless retrieval of radiological images and relevant patient information from RIS and PACS, enabling easy transmission to selected clients where the data is swiftly imported into their existing systems. Designed with user experience as a priority, CSAM Arcidis focuses on facilitating a straightforward and effective workflow. The system simplifies the process of selecting the information to be shared and the recipients, empowering healthcare professionals to dedicate more time to patient care and enhancing overall service efficiency. Ultimately, this streamlined approach contributes to improved healthcare outcomes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Two Hat

Founded

2012

Country

Canada

Website

www.twohat.com/cease-ai/

Vendor Details

Company Name

CSAM

Founded

2005

Country

Norway

Website

www.csamhealth.com/solutions/connected-healthcare/csam-arcidis/

Product Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Product Features

Radiology

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

Alternatives

Alternatives

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