IDoR 2025 Special Edition · Radiology AI Snapshot 2025

RadAI Slice Newsletter

Weekly Updates in Radiology AI

Radiology AI Snapshot 2025

Good morning there. You know we keep an eye on radiology AI every week. This special IDoR issue looks at what really changed in 2025 — the trends, the clearances, and the gaps still holding things back.

Here’s your quick catch-up:

MRI leads the papers, CT drives the clearances

MRI continues to dominate research, but CT and multimodal systems are the ones reaching the market. It shows how vendors focus on technologies that are already part of daily hospital workflows.

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Segmentation stays popular, detection gets deployed

Researchers continue to explore classification and segmentation, while hospitals focus on detection and triage — the tools that make the biggest difference in urgent workflows.

The translation gap

For every FDA cleared tool, there are hundreds of models that never leave the lab. The widest gaps appear in MRI and classification, reminding us that the challenge is not in building models but in proving they work in real settings.

A narrow evidence funnel

Thousands of studies are published each year, yet only a small share make it to clinical pilots, and even fewer reach FDA clearance. Shared datasets and stronger multi site trials could be the key to progress in 2026.

FDA momentum keeps building

2025 is shaping up to be another record year for AI and machine learning devices. Expect to see more combination tools that link imaging analysis with structured reporting and workflow support.

Our dataset keeps updating as new papers and FDA filings come in. You can always check the latest numbers here.

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