Artificial intelligence in gynecology surgery: Current status, challenges, and future opportunities.

Dou Q, Nyangoh-Timoh K, Jannin P, Shen Y
Chinese medical journal · 2025 · doi:10.1097/cm9.0000000000003530 · PMID:40033743 · PMC11925407
OA: gold
📄 Open PDF Full text JSON View on PubMed View at publisher
⚙ AI-generated summary by qwen3.7-flash, 2026-09-23 ⓘ

This paper reviews the current status, challenges, and future opportunities of artificial intelligence applications in gynecological surgery.

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, 2026-09-09 · read from full text ⓘ

This review article examines the current status, challenges, and future opportunities of artificial intelligence applications in gynecological surgery. It outlines various AI technologies being utilized to enhance surgical precision, patient outcomes, and procedural efficiency within the field of gynecology. The authors identify significant barriers such as data quality, algorithmic bias, and regulatory hurdles that must be addressed for broader clinical implementation. This paper is not centrally about endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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

Full text 675 characters · extracted from pmc-nxml · 3 sections · click to expand

Funding

This project was supported in part by Zhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital (Nos. 2023GSPKY11 and GSP-LCYJFH01), in part by National clinical key discipline construction funds (No. czxm-zk-40), in part by National Natural Science Foundation of China (Nos. 82372126 and 8207071577), and in part by a grant from the ANR/RGC Joint Research Scheme sponsored by the Research Grants Council of the Hong Kong Special Administrative Region, China and the French National Research Agency (No. A-CUHK402/23).

Coi Statement

None.

Acknowledgement

We grateful to the staff in Biobank of Zhongda Hospital Affiliated to Southeast University for technical assistance.

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: pmc-nxml ⓘ

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. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-10-04T09:26:46.659050+00:00