Abstracts of the 36th World Congress on Ultrasound in Obstetrics and Gynecology, 4-7 September 2026, London, UK

conference-abstract OA: bronze public-domain-us
AI-generated summary by qwen3.7-flash, 2026-09-04

An AI model trained on expert-annotated transvaginal ultrasound cine clips demonstrated 90% patient-level sensitivity and adequate segmentation agreement for deep endometriosis affecting the torus uterinus.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Results: We had included 54 videos from 51 patients with 188 labeled frames.Of these, 171/188 frames contained an annotated DE lesion, and 17/188 were without lesion.On lesion-present frames, Dice was 0.45 ± 0.28 (mean ± SD) with a median of 0.53 (IQR 0.23-0.68;max 0.92).Frame-level overlap was observed in 82% (140/171) of lesion-present frames.Patient-level sensitivity was 90% (46/51) using the ''any-overlap'' definition (5/51 patients had no overlap on any annotated lesion frame).Conclusions: An AI model trained from expert annotations in offline TVS cine clips showed encouraging sensitivity and adequate segmentation agreement for DE affecting the torus uterinus.Larger studies with more control cases are recommended before clinical deployment as a real-time alerting.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-09-06T09:34:12.023084+00:00
openalex
last seen: 2026-09-06T06:08:46.149282+00:00
pubmed
last seen: 2026-09-06T06:10:26.404586+00:00
unpaywall
last seen: 2026-09-02T07:26:43.000666+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine