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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 Picsara serves as a comprehensive image management system that facilitates real-time image capture, storage, and archiving. This innovative solution boosts the precision and quality of image documentation, leading to improved accuracy and care. Many of Sweden's largest hospitals have adopted CSAM Picsara for its user-friendly interface that addresses all aspects of image management within healthcare organizations. Its compatibility with a wide range of medical devices and media types makes it adaptable for various medical fields. Additionally, CSAM Picsara plays a vital role in the seamless sharing of clinical images, which is essential for accurate diagnoses and maintaining complete patient records, thus ensuring high-quality patient care. With this system, patients can transition between healthcare professionals or departments without the risk of their medical information being lost. Moreover, CSAM Picsara enables healthcare providers to effortlessly share extensive digital information, while users can easily store relevant annotations and measurements alongside images or videos within patient files. This functionality not only streamlines workflows but also enhances collaboration among medical teams.
API Access
Has API
API Access
Has API
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/medical-imaging/csam-picsara/
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
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
