AI-driven radiogenomics in gynecologic oncology: from radiological digital biopsy to a new paradigm in precision therapy.

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Bibliographic Details
Title: AI-driven radiogenomics in gynecologic oncology: from radiological digital biopsy to a new paradigm in precision therapy.
Authors: Kong Q; Department of Radiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China., Ban Y; Department of Radiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Source: Frontiers in oncology [Front Oncol] 2026 Feb 04; Vol. 16, pp. 1745519. Date of Electronic Publication: 2026 Feb 04 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2234-943X
DOI:10.3389/fonc.2026.1745519