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# AI or Not posts 95% accuracy on deepfake X-ray benchmark
- URL: https://www.ai-360.online/ai-or-not-95-percent-deepfake-xray-detection-benchmark/
- Published: 2026-05-12T12:00:00.000Z
- Updated: 2026-10-26T17:20:24.000Z
- Description: AI or Not said an independent blinded test on a Mount Sinai deepfake medical-imaging dataset returned 95% overall accuracy and 100% detection of synthetic X-rays.
- Author: AI-360
- Tags: Enterprise AI, News, #company-ai-or-not, Product

[AI or Not](https://www.aiornot.com/?ref=ai-360.online) said its detection product scored 95% overall accuracy and 100% detection of synthetic X-rays in a blinded independent benchmark on a curated dataset drawn from Mount Sinai research on deepfake medical imaging, [according to a company release on PR Newswire dated 12 May 2026](https://www.prnewswire.com/news-releases/ai-or-not-achieves-100-detection-of-deepfake-x-rays-in-independent-test-with-95-overall-accuracy-exceeding-results-reported-for-radiologists-and-leading-multimodal-llms-302768497.html?ref=ai-360.online).

On authentic X-rays in the same curated set, the company said 92.21% were correctly cleared as real, implying a 7.8% false-positive rate, with a 0% miss rate on AI-generated images. The underlying Radiology study context cited radiologist accuracy of about 41% without warning rising to roughly 75% when alerted, and multimodal LLMs in the 57–85% range — those figures are study-reported, not AI or Not's own radiologist trial. The company said the curated set's generator was GPT-4o and framed the images as out-of-distribution relative to its training data.

Buyer angles named in the release include medical imaging integrity and insurance claims verification. Accuracy percentages and comparison claims are vendor-stated benchmark results and have not been independently verified by AI-360.