Rad AI

Rad AI – AI Tool for Productivity

AI software for radiology to enhance workflows.

Ideal For

RadiologistsHealthcare professionals

Tags

AutomationHealthcare
Rating:Not Yet Rated
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Pricing:Paid
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TL;DR — Rad AI

AI software for radiology to enhance workflows. Key strengths include automation of x-ray impressions: this feature provides a automation tailor-made radiological impressions, thus reducing the working time of radiologists by more than 60 minutes per shift. the technology adapts the impressions to the linguistic style of each radiologist, improving efficiency and reducing fatigue, which is essential for better case volume management, automated patient follow-up management: the software offers a follow-up management solution that automates most of the steps required to track significant incidental findings in radiology reports. this approach improves patient outcomes, minimizes health systems accountability, and increases financial value, while allowing clinical teams to focus more on patient care, enhanced radiology reporting: thanks to its platform based on leadership in generative ai, this feature boosts radiologists' productivity by minimizing fatigue and allowing them to communicate more with fewer words. improving the accuracy and effectiveness of reporting is critical to accelerating decision-making and improving patient care. Security: Flagged.

What is Rad AI?

Rad AI provides AI radiology software solutions designed to streamline workflows, save time, and improve patient care in the healthcare sector. The software aims to assist radiologists by automating certain tasks, thereby reducing burnout and enhancing efficiency in medical imaging processes.

Who Should Use Rad AI?

  • Streamlining radiology workflows
  • Reducing burnout for radiologists
  • Improving patient care
  • Automating medical imaging tasks

Key Features

  • Automation of X-ray Impressions: This feature provides a automation tailor-made radiological impressions, thus reducing the working time of radiologists by more than 60 minutes per shift. The technology adapts the impressions to the linguistic style of each radiologist, improving efficiency and reducing fatigue, which is essential for better case volume management.
  • Automated Patient Follow-Up Management: The software offers a follow-up management solution that automates most of the steps required to track significant incidental findings in radiology reports. This approach improves patient outcomes, minimizes health systems accountability, and increases financial value, while allowing clinical teams to focus more on patient care.
  • Enhanced Radiology Reporting: Thanks to its platform based on leadership In generative AI, this feature boosts radiologists' productivity by minimizing fatigue and allowing them to communicate more with fewer words. Improving the accuracy and effectiveness of reporting is critical to accelerating decision-making and improving patient care.

Security Assessment

Security: Flagged

Published posture scored below 12/20 on Security & Data Privacy. Review the source links and the methodology before using it with sensitive data. We do not perform security testing.

Last assessed: 17 August 2026

How this score was built

Each scored criterion links to the published page it was derived from. Unscored criteria are marked, not guessed. This listing has not been hands-on tested.

  • Security & Data Privacy

    The privacy page is missing, but HTTPS is used, indicating some level of security.

    Source: radai.com
    4/10
  • Functionality & Features

    The homepage provides detailed descriptions of various AI radiology solutions offered by Rad AI.

    Source: radai.com
    8/10
  • Ease of Use

    Requires hands-on use of the product.

    Not assessed
  • Pricing & Value

    No citable published evidence in this pass.

    Not assessed
  • Reliability & Performance

    Requires hands-on use of the product.

    Not assessed
  • Integration Capabilities

    No citable published evidence in this pass.

    Not assessed
  • Customer Support

    No citable published evidence in this pass.

    Not assessed
  • Company Stability

    The homepage mentions Rad AI's recognition on the Inc. 5000 list, indicating some level of company stability.

    Source: radai.com
    5/10
  • Update Frequency

    No citable published evidence in this pass.

    Not assessed
  • Startup-Friendliness

    No citable published evidence in this pass.

    Not assessed

Frequently Asked Questions

What is Rad AI and what does it do?

AI software for radiology to enhance workflows. Key capabilities: Automation of X-ray Impressions: This feature provides a automation tailor-made radiological impressions, thus reducing the working time of radiologists by more than 60 minutes per shift. The technology adapts the impressions to the linguistic style of each radiologist, improving efficiency and reducing fatigue, which is essential for better case volume management.; Automated Patient Follow-Up Management: The software offers a follow-up management solution that automates most of the steps required to track significant incidental findings in radiology reports. This approach improves patient outcomes, minimizes health systems accountability, and increases financial value, while allowing clinical teams to focus more on patient care.; Enhanced Radiology Reporting: Thanks to its platform based on leadership In generative AI, this feature boosts radiologists' productivity by minimizing fatigue and allowing them to communicate more with fewer words. Improving the accuracy and effectiveness of reporting is critical to accelerating decision-making and improving patient care.. Commonly used for Streamlining radiology workflows, Reducing burnout for radiologists, Improving patient care.

What does Rad AI cost in India?

Rad AI is a paid tool.

Is Rad AI safe for startups?

Rad AI is flagged on our Security & Data Privacy criterion (scored below 12/20). Review the full assessment before using it for sensitive startup data.

How is Rad AI rated on One9Founders?

Rad AI has not yet been rated on our 10-point evaluation framework. See How We Rate for the 10-criterion framework and status definitions.

Last assessed: 17 August 2026