Pharmaceutical Executive August 11, 2025
Key Takeaways
- AI enhances radiology’s role in oncology by supporting therapy choices, trial recruitment, and treatment monitoring.
- Imaging biomarkers, combined with molecular data, improve predictive accuracy but require unified platforms for effective implementation.
- Regulatory approvals for AI imaging tools are increasing, but clinical trust remains fragile due to the need for clear, interpretable insights.
- Progress is seen in aligning imaging with care, trial design, and next-generation platforms, but full integration and real-time clinical relevance remain challenges.
Bridging the last mile to clinical actionability.
Across oncology, AI is sharpening our lens faster than ever. Radiology, which was once confined to static imaging, is now playing a far more dynamic role. It supports early therapy choices, guides trial recruitment, helps...
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