What the FDA Record Shows About the Ever Fortune.AI Appendicitis Clearance

The FDA 510(k) record K253163 shows a decision date of 22 April 2026 and a decision of substantially equivalent for the EFAI ERSUITE CT APPENDICITIS ASSESSMENT SYSTEM, model APPEN-CT-100. The applicant is Ever Fortune.Ai, Co., Ltd. of Taichung City, Taiwan. The record gives regulation number 892.2080, product code QAS, and the classification radiological computer-assisted triage and notification software, and lists the submission as traditional. A 510(k) clearance means the FDA found the device substantially equivalent to one already on the market. It is not an approval and it is not a finding that the software improves care.

Why the Ever Fortune.AI Appendicitis Clearance Matters to Emergency and Radiology Leaders

The classification is the whole story. Triage and notification software is cleared to change the order of a worklist, not to make the diagnosis, so what this product is allowed to do is move a suspected appendicitis scan in front of a radiologist sooner. That is genuinely useful in a busy emergency department and it is a narrow claim, which is the honest way to read it. Note what the record does not contain: no sensitivity, no specificity, no study population and nothing about the hospitals the software was tested in. A clearance under this classification is also one of the most common in healthcare AI, so holding seven of them says this company can get through the process, not that any one product outperforms a rival.

Where the Ever Fortune.AI Update Comes From

FDA 510(k) Premarket Notification Database is the original record behind this update. It tells us what the company published. This brief adds the market context and the method we would use to test the development against other evidence.

FDA 510(k) Premarket Notification Database original source.

How We Would Research the Ever Fortune.AI Appendicitis Clearance

The source gives us the starting point. This is how we would build the next layer of research around it.

  1. We would read the 510(k) summary for K253163 to find the predicate device and the test set it was compared against.
  2. Then we would ask Ever Fortune.AI for the sensitivity and specificity figures and the population they came from, since the clearance record carries none.
  3. We would check how the triage flag reaches our own worklist and what happens to a scan the software does not flag, because that is where triage software causes harm.