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RADIMAGENETVQA Figure1

Introducing RadImageNet-VQA: A New Benchmark for Radiologic Visual Understanding

April 22, 2026

Interpreting radiology exams requires combining visual recognition and clinical reasoning, often with medical context. To be useful in this setting, a...

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Team at ECR 2026

ECR 2026: What the "Rays of Knowledge" Revealed About the Future of Imaging

April 2, 2026

ECR 2026 chose its theme well. "Rays of Knowledge" captured a moment of clarity about where the field stands right now. The conversation has moved onA...

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Figure 1. Foundation Model Evaluation Summary

Introducing Curia-2: Scaling the Next Frontier of Radiology

March 5, 2026

Foundation Model Evaluation at a Glance Curia-2 sets a new standard for general-purpose radiological AI. By managing technical complexity through log...

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rsna_2025

What’s New in AI Radiology After RSNA 2025: AI Re-Inventing Itself, From Point Solutions to the AI-Native Era

December 18, 2025

RSNA 2025, themed “Imaging the Individual,” marked a significant shift in the trajectory of medical imaging. We have moved past the era of narrow AI s...

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curia_radar

Announcing the Release of the Curia Benchmark and Evaluation Code

October 22, 2025

Following the release of Curia, our multi-modal foundation model for radiology, we are excited to announce the public release of our exclusive 19-task...

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curia_dataset_2

Curia: A Frontier Foundation Model for 3D Imaging, Opening a New Era of AI in Radiology

September 9, 2025

We are thrilled to announce the public release of Curia, a groundbreaking multi-modal foundation model poised to transform radiological image interpre...

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manifesto image 1

Foundation models: The key to solve radiology through AI?

November 16, 2022

In 2016, Geoffrey Hinton, one of the 3 founding fathers of deep learning, predicted in the 5 coming years the end of the radiologist, who was like the...

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