Pathway from anatomy to validated imaging biomarkers and therapeutic endpoints

Imaging science converts anatomical images into quantitative biomarkers and therapeutic evidence. A quantitative output becomes a biomarker only within a prespecified context of use, and a surrogate endpoint only after rigorous qualification. AI accelerates analysis but doesn't…

• Image-derived measurements depend on acquisition parameters such as modality, contrast, positioning, and standardization.
• A biomarker requires a context of use; a surrogate endpoint demands qualification showing predictive validity across different drug mechanisms, as demonstrated by bone mineral density.
• Artificial intelligence can speed up image analysis but does not replace the need for rigorous validation.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.