At the 3rd QCI meeting in Berlin under the amazing guidance of Marc Dewey and Tobias Schäffter, we conducted an intersectional expert consensus to develop plaque-based treatment recommendations for patients with suspected coronary artery disease and stable chest This paper is an important step moving toward individualized treatment guided by AI analysis of artery plaque. We are happy to see our young researchers, Kenrick and Anne-Marieke, at the forefront as first authors.

Key takeaways:
🧪 We need studies comparing regular CT scans with CT scans that use artificial intelligence (AI) to understand how AI can help individualize treatment for coronary artery disease.

📊 When deciding on treatment, it’s better to look at how a person’s plaque amount compares to others of the same age and gender, instead of using one fixed number for everyone.

💊 If any plaque is found, doctors recommend starting cholesterol-lowering medicine. If the plaque amount is high compared to people of the same age and gender (above the 70th percentile), stronger treatment is needed.

Read the full article here: https://www.nature.com/articles/s41569-025-01191-6

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