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Rad AI
Rad AI
Rad AI

Rad AI

Optimize processes and reduce fatigue in radiology.

Categories

Health
Automation
Productivity
Copywriting
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Description

This artificial intelligence makes it possible to optimize work process radiologists by automating the generation of radiological impressions and the management of patient follow-ups. Rad AI offers solutions that reduce the time doctors spend on each case, minimize fatigue, and improve the accuracy of medical reports. In particular, Rad AI Impressions saves over 60 minutes per shift, customizing prints to match the style of each radiologist. Rad AI Continuity, on the other hand, automates follow-up recommendations for significant incidental discoveries, improving patient outcomes and reducing the accountability of health systems. These tools have been recognized for their effectiveness, receiving praise for their ability to transform the Copywriting radiological, while supporting improved quality of care thanks to cutting-edge artificial intelligence technology.

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Features

Open source
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Web app

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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.

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