🚀 Could AI help streamline MRI workflows, optimise biopsy decision-making, and reduce variability in prostate cancer detection?

🤔 What are your thoughts on Radiology lead research and CTiR?

Let’s discuss below! 👇

Not yet... The next crucial step is prospective validation, ensuring AI improves patient outcomes rather than just performing well on retrospective datasets.

🤔 What does this mean for the future of prostate MRI?
This study provides compelling evidence that AI can match expert performance, but does that mean AI is ready to replace human oversight?

✅ Sensitivity vs. Specificity Trade-off – At the predefined risk threshold, AI achieved:
📌 Sensitivity: 95% (Rads: 99%)
📌 Specificity: 67% (Rads: 73%)
While radiologists still had the edge, AI was remarkably close—raising the question: could AI help in reducing radiologist workload in routine cases?

✅ Performance in Real-World Settings – AI demonstrated robust generalisability, performing consistently across different scanner models and field strengths, an essential step in ensuring AI’s clinical viability.

✅ AI vs. Radiologists – This study evaluated an AI system for detecting clinically significant prostate cancer (GG≥2) on MRI across six hospitals with multiple scanner vendors. Impressively, AI performed non-inferior to MDT-supported radiologists, achieving an AUC of 0.91 vs. 0.95.

A standout? Francesco Giganti et al.'s multi-centre, multi-vendor validation study on AI-powered prostate cancer detection.
🔗 Read the full study here: lnkd.in/eYdXXGhR

💡 Key Insights:

One of the most exciting parts of #ECR2025 has been the Clinical Trials in Radiology sessions (CTiR) —showcasing cutting-edge, radiology-led imaging research that is shaping the future of our field.

Let’s reimagine how radiology tells its story—one image at a time.
Thanks to all who've helped make this happen!
— Brendan
#BrendansBest #Radiology #VisualScience #ESR #AIinRadiology

Authors now submit a visual summary that captures their main finding—starting at revision.
It’s creative, effective, and built for how we actually read content in 2025.
🖼️ One image, big impact.
#GraphicalAbstract #EuropeanRadiology

Graphical abstracts:
✅ Summarize research at a glance
✅ Boost social media reach
✅ Improve accessibility for clinicians, patients & policymakers
✅ Help radiology speak beyond its own walls
#ScientificCommunication #Radiology

Could be such a great use case for AI. Here’s hoping. Great work!