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What is SignalPET 360°?

SignalPET 360° is a state-of-the-art veterinary radiology system that integrates advanced vision-based artificial intelligence, context-aware language processing, and PACS technology, all while ensuring continuous access to board-certified radiologists for swift and actionable imaging insights across various modalities, such as X-rays. This comprehensive platform meticulously assesses each case and image, acting as an extra layer of evaluation to provide rapid AI-generated insights within minutes, emphasizing critical pathologies in thoracic, abdominal, musculoskeletal, soft tissue, and dental areas, and it can produce structured preliminary evaluations in under five minutes. Its Complete Report feature utilizes sophisticated machine vision and extensive language models to create detailed findings, conclusions, and clinical recommendations that closely mirror those of a traditional radiologist's report, usually delivering results within a 30-minute window, thereby assisting clinicians in understanding the findings, their significance, and possible next steps. Furthermore, this groundbreaking platform boosts the efficiency and precision of veterinary diagnostics, ultimately leading to better patient care and outcomes, while simultaneously enabling veterinarians to make more informed decisions based on comprehensive insights. Such advancements not only streamline the diagnostic process but also foster a collaborative approach to animal health management.

What is ROKAPAX?

Our diverse selection of products includes VNA, PACS systems, Radiology Information Systems (RIS), Diagnostic Viewers, and AI-enhanced Medical Diagnostic Support Solutions (MDSS) specifically designed for modalities such as MMG, CT chest imaging, ECG, and X-ray endoprosthesis imaging. With a robust user base of over 300,000 active individuals each month and 20,000 diagnostic devices flawlessly integrated with our PACS|VNA, we take pride in offering state-of-the-art technological solutions that aim to improve patient care significantly. We are keen to impart our knowledge in the field of healthcare digitalization, which is focused on elevating patient experiences through optimized diagnostic workflows. Our dedication extends to promoting the seamless adoption of our solutions to enhance the efficiency of professionals such as radiologists, oncologists, and cardiologists in their daily tasks. Leveraging 14 years of collaboration with 5,000 clinics, we have honed our essential skills to create a comprehensive and flexible platform that addresses the entire imaging workflow, free from vendor limitations. Furthermore, our AI-powered medical decision support systems are crafted to effectively prioritize cases with identified pathologies on a single interface, employing a red-yellow-green alert system to bolster clinical decision-making. This groundbreaking method guarantees that healthcare practitioners can concentrate on what is most important: providing outstanding care to their patients, thereby fostering a healthcare environment that is more responsive and patient-centered. Ultimately, our innovations not only streamline processes but also facilitate better health outcomes for all involved.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1000
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

SignalPET

Date Founded

2018

Company Location

United States

Company Website

www.signalpet.com

Company Facts

Organization Name

ROKAPAX

Date Founded

2010

Company Location

Cyprus

Company Website

www.rokapax.com

Categories and Features

Radiology

Not specified

Categories and Features

Radiology

Not specified

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