Researchers validated AI-driven facial blurring software to safeguard privacy during remote interventional radiology procedures.
Key Details
- 1AI-based facial blurring software, originally developed for TV, was adapted for IR teleproctoring to ensure patient privacy.
- 2The BlurOn system from Nippon Television Network and NTT Data removes identifiers before video leaves the IR suite.
- 3Proof-of-concept and multi-institutional clinical trials included thoracic draining, central venous port insertions, and hepatic arterial infusion procedures.
- 4All four procedures completed successfully; video quality and delays were satisfactory for remote guidance and education.
- 5Both operators and remote viewers found the setup straightforward and workflow-friendly, noting educational and practical benefits.
Why It Matters

Source
AuntMinnie
Related News

Toronto Study: LLMs Must Cite Sources for Radiology Decision Support
University of Toronto researchers found that large language models (LLMs) such as DeepSeek V3 and GPT-4o offer promising support for radiology decision-making in pancreatic cancer when their recommendations cite guideline sources.

AI Model Using Mammograms Enhances Five-Year Breast Cancer Risk Assessment
A new image-only AI model more accurately predicts five-year breast cancer risk than breast density alone, according to multinational research presented at RSNA 2025.

AI Model Uses CT Scans to Reveal Biomarker for Chronic Stress
Researchers developed an AI model to measure chronic stress using adrenal gland volume on routine CT scans.