Rad AI Blog

Featured
7.19.24
The Evolution of Radiology Reporting: Embracing FHIRcast for Seamless Integration
Interoperability is at the heart of our vision for the future of radiology. Rad AI Reporting leverages standards like HL7, FHIR, and FHIRcast to enhance radiology workflows. We’ll cover what FHIRcast is, what problems it solves, and how Rad AI uses FHIRcast to push the boundaries of what’s possible in radiology reporting.
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Technical Blog
6.20.24
Unlocking Precision: Abstractive Summarization and the Power of Retrieval-Augmented Generation (RAG)
Whether you're an AI enthusiast, a tech professional, or just curious about the latest advancements, this read offers an insightful analysis of how RAG is enhancing the way we generate and summarize content.
Article
5.23.24
Reimagining the Standup
Discover how identifying clear problems, leveraging high-quality data, and understanding the tangible ROI can lead to transformative AI applications.
Article
4.11.24
AI in Healthcare: Bridging Ideas to Implementation
Discover how identifying clear problems, leveraging high-quality data, and understanding the tangible ROI can lead to transformative AI applications.
Announcement
1.31.24
Purpose Jobs Recognizes Rad AI as Best Place to Work in 2024
Purpose Jobs names Rad AI to its list of best places to work in 2024.
Article
3.21.23
Sealing the Cracks: Re-Envisioning Radiology’s Role in Preventing Loss to Follow-up
Article
3.1.22
Rad AI: Radiology Workflow-Focused AI
Dr. Casey Schmitz discusses the importance of non-image interpretation AI solutions

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