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AI in Real-World Radiology Data by Amos kahare is a document available to read on EtoBox.

What is AI in Real-World Radiology Data about?

This review discusses the integration of artificial intelligence (AI) with real-world radiology data (RWD) to enhance cancer diagnosis and treatment through advanced biomarker development. It highlights the potential benefits of using vast digital image datasets from clinical practice while addressing challenges such as data quality, variability, and the need for standardized processing methods. The review emphasizes the importance of building trust among stakeholders and the necessity of overcoming obstacl

Author

Amos kahare

Language

EN