Average Ratings 0 Ratings
Average Ratings 0 Ratings
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 TRIS is a robust and versatile Radiology Information System designed specifically for healthcare professionals working within Nordic Radiology Departments. This user-friendly platform combines high functionality with stability, catering effectively to radiology departments of varying sizes and workflows. Thanks to ongoing input from committed users, CSAM TRIS excels in delivering a seamless experience for its operators. Essential tasks can be executed swiftly through intuitive keystrokes and specialized tools, showcasing the system’s remarkable balance between information management and usability. Furthermore, CSAM TRIS enhances IT connectivity among X-ray departments, clinical teams, outpatient facilities, and primary healthcare services, all while prioritizing user needs related to security and quality. The software is equipped with a range of contemporary features, such as the ability to send interactive online referrals directly to Radiology, ensuring a comprehensive approach to patient care. Overall, CSAM TRIS stands as a testament to innovative technology in the healthcare sector.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AdminPulse
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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/medical-imaging/csam-tris/
Product Features
Content Moderation
Artificial Intelligence
No
Audio Moderation
No
Brand Moderation
No
Comment Moderation
No
Customizable Filters
No
Image Moderation
No
Moderation by Humans
No
Reporting / Analytics
No
Social Media Moderation
No
User-Generated Content (UGC) Moderation
No
Video Moderation
No
Product Features
Radiology
Audit Trail
No
Billing & Invoicing
No
Claims Management
No
EDI
No
EMR HL7 Bridge
No
Image Fusion
No
PACS Integration
No
Patient Scheduling
No
Scanning Input
No
Teleradiology
No
Wait List Management
No