Rad AI

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Enhance radiologists' productivity with Rad AI, trusted by leading institutions. Streamline workflows, save time, and improve patient care.0
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What is Rad AI?

Rad AI is an AI tool designed specifically for radiologists, aiming to enhance their productivity, reduce burnout, and improve patient care. With features like Rad AI Reporting, Omni, and Nexus, this software automates radiology impressions, creates a dynamic worklist, and automates patient follow-ups. Trusted by leading institutions, Rad AI is a reliable and efficient solution for radiologists.

Key Features:

1. Rad AI Reporting: This feature improves accuracy and efficiency by generating customized impressions for radiologists, saving them time and reducing mental strain.

2. Rad AI Omni: Automating radiology impressions, Rad AI Omni saves radiologists over 60 minutes per shift and reduces burnout, allowing them to focus more on patient care.

3. Rad AI Nexus: This AI-enabled dynamic worklist prioritizes performance, minimal workflow interruption, and AI-driven case assignment, enhancing radiologists' productivity and efficiency.

Use Cases:

1. Automating Radiology Impressions: Rad AI Omni automates the generation of impressions, saving radiologists time and mental effort, leading to improved productivity and reduced burnout.

2. Dynamic Worklist Management: Rad AI Nexus optimizes radiologists' workflow by providing a smarter worklist that prioritizes performance and assigns cases based on AI-driven insights, improving efficiency and minimizing interruptions.

3. Automated Patient Follow-ups: Rad AI Continuity automates patient follow-ups for significant incidental findings in radiology reports, improving patient outcomes, reducing liability, and saving time for clinical teams.


Rad AI is a powerful AI tool designed by radiologists for radiologists. With features like Rad AI Reporting, Omni, and Nexus, it streamlines radiology workflows, saves time, reduces burnout, and improves patient care. Trusted by leading institutions, Rad AI is a reliable partner in enhancing radiologists' efficiency and productivity while maintaining the highest quality standards in radiology reporting.

More information on Rad AI

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Updated Date: 2024-04-30
Rad AI was manually vetted by our editorial team and was first featured on September 4th 2024.
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