Novas abordagens cirúrgicas no diagnóstico e tratamento da endometriose

dissertation OA: green CC0
AI-generated summary by gemini-2.5-flash-lite+body, 2026-07-20

This work presents new surgical approaches for the diagnosis and treatment of endometriosis.

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

AI-generated deep summary by qwen3.7-flash, 2026-09-10 · read from full text

This dissertation reviews novel surgical approaches for the diagnosis and treatment of endometriosis, focusing on recent advancements in minimally invasive techniques. It evaluates the efficacy and safety of various procedures aimed at improving patient outcomes while reducing postoperative complications. The work synthesizes current literature to propose updated clinical protocols for managing this chronic condition. This paper is centrally about endometriosis — specifically the application of new surgical methods for its diagnosis and therapeutic management.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 941 characters · extracted from oa-html · click to expand
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/114544 | Author(s): | Xénia Pires de Matos Verraest | | Title: | Novas abordagens cirúrgicas no diagnóstico e tratamento da endometriose | | Issue Date: | 2018-07-06 | | Subject: | Ciências da saúde Health sciences | | Scientific areas: | Ciências médicas e da saúde::Ciências da saúde Medical and Health sciences::Health sciences | | DOI: | 10.34626/856q-8h06 | | TID identifier: | 202016021 | | URI: | https://hdl.handle.net/10216/114544 | | Document Type: | Dissertação | | Rights: | openAccess | | Appears in Collections: | ICBAS - Dissertação | Files in This Item: | File | Description | Size | Format | | |---|---|---|---|---| | 279763.pdf | Novas abordagens cirúrgicas no diagnóstico e tratamento da endometriose | 411.49 kB | Adobe PDF | View/Open | Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
License: CC0 · commercial use OK