12233 Prediction of MBS Item Number and rASRM Stage Based on Deep Endometriosis Ultrasound

In: Journal of Minimally Invasive Gynecology · 2024 · vol. 31(11) , pp. S140 · doi:10.1016/j.jmig.2024.09.930 · W4404350362
article OA: closed CC0
Limited metadata. Only one source feed has indexed this record so far — no abstract, full text, or open-access copy is available through Endo Lab. The publisher's page (linked below) is the canonical location for the actual content. If you have institutional access, use "Find at my library".
View at publisher → View on OpenAlex
AI-generated summary by gemini-2.5-flash-lite, 2026-06-12

This study developed a deep learning model to accurately predict the specific MBS item number and ASRM stage from ultrasound images of deep endometriosis.

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

My notes (saved in your browser only)

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
unpaywall
last seen: 2026-09-21T07:16:15.697306+00:00
License: CC0 · commercial use OK