Research & Evidence

Building an evidence-driven approach to AI

Our data programme

Every scan strengthens our AI

Our clinic serves a dual purpose: delivering specialist diagnostic care today, and generating the expert-annotated imaging data that trains our AI for tomorrow.

With the explicit consent of our patients, each and every ultrasound scan contributes to a growing dataset annotated by a consultant gynaecologist.

Published evidence

The growing case for AI in endometriosis diagnostics

  • AI-augmented ultrasound has demonstrated AUC values up to 0.997 for ovarian endometrioma detection - Keckstein et al. (2025), ScienceDirect

  • Pooled sensitivities of AI diagnostic models range from 81.7% to 96.7% -- Sivajohan et al. (2022), Digital Medicine (Nature)

  • Non-invasive imaging diagnosis enables exploration of non-surgical treatment options -- "Noninvasive diagnostic imaging for endometriosis part 1", Fertility and Sterility

  • Specialist transvaginal ultrasound shows high specificity for deep endometriosis with AUC 0.88, sensitivity 95%, specificity 80% for deep endometriosis -- Leonardi et al. (2025), ScienceDirect