Experience Copilot Advantage :
Faster Turnarounds, Boosted ROI
Transforming Radiology Workflows with Real Impact
Discover how our tailored features empower imaging centers to boost efficiency, accuracy, and patient care through seamless AI integration, streamlining workflows and supporting radiologists at every step.
Automated Reporting & Case Management
AI-Powered Reporting:
Leverage a platform using globally recognized AI models that enhance radiology reporting with radiomics and advanced algorithms, ensuring consistent, accurate, and efficient report generation to support radiologists.
Intelligent Case Assignment:
Cases are automatically routed to radiologists based on subspecialty, clinical history, and annotations, with AI copilot assistance streamlining workflow and supporting efficient case management.
Real-Time Tracking & Transparent Billing
Live Case Tracking:
Monitor The Status Of Every Report With Transparent Turnaround Times To Keep Operations On Schedule, supporting healthcare organizations in the improvement of operational efficiency.
Seamless Billing:
Benefit from automated billing processes with real-time invoice tracking and hassle-free payments. These features also improve transparency and reduce administrative burden for your organization.
Seamless Integration & Collaboration
Effortless Integrations:
Enjoy quick, plug-and-play connectivity with your existing HIT, PACS, and RIS systems for smooth workflows, enabled by a robust framework that ensures seamless integration and reduces manual tasks.
Enhanced Collaboration:
Built-in tools enable secure communication, report sharing, markup annotations, and peer reviews, enhancing collaboration among radiologists and clinicians to improve diagnostic accuracy and trust within your organization.
Secure, Compliant and Patient-Centered Care
We ensure patient data privacy and regulatory compliance through robust security measures, delivering safe and trustworthy radiology workflows focused on patient-centered care.
FDA-Approved AI Models
Our Platform Exclusively Employs AI Models That Are Fully Compliant And FDA-Approved, Guaranteeing That Every Diagnostic Meets The Highest Regulatory Standards.
Urgent Case Notifications
Never Miss A Critical Finding. Our System Instantly Flags And Notifies You Of Any Case Defined As Urgent By Your Institution, Ensuring Timely Intervention.
Regular Compliance Checks
Continuous, Periodic Audits Add An Extra Layer Of Security, Ensuring That Our Workflows Always Adhere To The Strictest Industry And Patient Care Standards.
Real Impact, Proven Results
AI-assisted reporting speeds workflows, reduces cognitive load, and improves accuracy, empowering radiologists to deliver consistent, high-quality reports and better outcomes.
50%
Reduction in Turnaround Time
60%
Increase in Operational Efficiency
30%
More Accurate & Consistent Report
2X
Boost in Return On Investment
Why Radiologists trust Copilot
"Since integrating Natoe AI Copilot, we've eliminated repetitive reporting errors and streamlined our operations remarkably. Our radiologists appreciate the smoother,..."
Reed Health Diagnostics
"I love the built-in chat and seamless case workload management offered by Copilot. Collaborating with colleagues has never been easier,..."
Dr. Susan Whitaker
"Copilot really helped our radiology reporting workflow completely. We're delivering reports faster than ever, greatly enhancing our daily experience and..."
Sunshine Imaging Solutions
Experience AI Copilot
Foundation of AI Copilot
The foundation of the AI copilot in medical imaging lies in the seamless integration of artificial intelligence and advanced machine learning algorithms into the daily workflow of radiologists. By combining the analytical power of AI models with the clinical expertise of radiologists, the AI copilot transforms the way radiology reports are generated and interpreted. Leveraging generative AI and robust foundation models, these systems are designed to assist radiologists in analyzing complex medical images, identifying subtle abnormalities, and generating accurate, high-quality reports with greater speed and consistency.
At the core of the AI copilot are medical image analysis models trained on vast datasets of diverse medical images. These foundation models are capable of detecting a wide range of medical conditions, providing radiologists with informative prompts and suggestions that enhance report content and support informed decisions. By automating routine tasks and offering real-time feedback, the AI copilot reduces cognitive load, allowing radiologists to focus on complex cases and nuanced interpretation, ultimately leading to improved patient outcomes.
The development of AI copilots is driven by a deep understanding of radiology workflows and the unique challenges faced by radiologists. These solutions are not designed to replace the radiologist, but to empower and enable them—supporting accurate diagnosis, maintaining safety, and ensuring that every report meets the highest standards of quality. With the ability to generate draft reports, highlight potential abnormalities, and provide context-specific suggestions, the AI copilot streamlines report generation and enhances the effectiveness of radiology departments.
As technology continues to advance, AI copilots are evolving to incorporate multiple AI models and foundation models, offering even more comprehensive support for radiologists. The future of medical imaging will see AI copilots that not only analyze images and generate reports, but also continuously learn from new data, adapt to emerging medical conditions, and provide actionable insights that drive better care for patients. By focusing on solutions that support radiologists and improve patient care, the AI copilot is set to become an indispensable tool in the modern radiology department—enabling greater efficiency, accuracy, and ultimately, better outcomes for all.
Frequently Asked Questions
How does Natoe AI Copilot help our imaging center operate more efficiently?
For example, Natoe AI Copilot streamlines radiology workflows by automatically searching your PACS and VNA for similar cases, helping radiologists quickly find relevant prior studies and clinical information. Additionally, the copilot can access information from the internet to support decision-making, such as retrieving the latest research or guidelines. This integration reduces manual effort and accelerates report generation.
Can Natoe AI Copilot genuinely help improve our imaging center's ROI?
Yes, Natoe AI Copilot boosts ROI by enhancing workflow efficiency, enabling radiologists to generate accurate reports faster, reducing cognitive load, and supporting better patient outcomes through seamless AI integration in medical imaging and radiology reporting.
How does Natoe AI Copilot integrate with our existing PACS and RIS systems?
Our Natoe AI Copilot seamlessly integrates with existing PACS and RIS, enhancing radiology workflows by automating case routing, supporting report generation, and enabling efficient collaboration, ultimately empowering radiologists and improving patient care through AI in radiology.
What kind of support and report turnaround times can our imaging center expect with Natoe AI Copilot?
Our Imaging center benefits from rapid report turnaround times and continuous support, leveraging Natoe AI Copilot's capabilities to create accurate reports, reduce cognitive load, and empower radiologists for improved patient outcomes and workflow efficiency.
Does Copilot support all the imaging modalities we use at our center?
Yes, Natoe AI Copilot supports a majority of imaging modalities, seamlessly integrating with your existing systems to assist radiologists with accurate report generation, medical image analysis, and improved workflow efficiency across diverse medical imaging tasks.
How does Natoe AI Copilot ensure the security of our imaging center's sensitive patient data?
Natoe AI Copilot employs robust security protocols, strict compliance with healthcare regulations, and continuous audits to protect patient data, ensuring privacy and safety while supporting radiologists with accurate, efficient medical imaging and radiology reporting.