AI based sentiment analysis of online discussions related to cervical brachytherapy.

Saved in:
Bibliographic Details
Title: AI based sentiment analysis of online discussions related to cervical brachytherapy.
Authors: Kouzy R; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Rooney MK; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Cha EE; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Vinjamuri S; Gandhi Medical College, Secunderabad, India., Wu H; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Kouzi ZE; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Mohamad O; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Sims TT; Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Weil CR; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Taku N; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Lin LL; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Jhingran A; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Eifel P; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Joyner M; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Colbert LE; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Klopp AH; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Source: Technical innovations & patient support in radiation oncology [Tech Innov Patient Support Radiat Oncol] 2025 Sep 02; Vol. 36, pp. 100340. Date of Electronic Publication: 2025 Sep 02 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: England NLM ID: 101762366 Publication Model: eCollection Cited Medium: Internet ISSN: 2405-6324 (Electronic) Linking ISSN: 24056324 NLM ISO Abbreviation: Tech Innov Patient Support Radiat Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2405-6324
DOI:10.1016/j.tipsro.2025.100340