Results 221 to 230 of about 201,910 (397)

Artificial intelligence in the diagnosis and management of gynecologic cancer

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low‐resource settings.
Chaiyawut Paiboonborirak   +2 more
wiley   +1 more source

Environment, lifestyle, and cancer in women

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Environmental and lifestyle factors significantly contribute to gynecological cancers. The risk of ovarian cancer, one the most lethal gynecological cancer, is associated with obesity, poor dietary habits, and environmental pollutants, exacerbating hormonal imbalances, inflammation, and oxidative stress.
Sara Farina   +3 more
wiley   +1 more source

Do MRI structured reports with FIGO classifications of leiomyomas contain adequate information for clinical decision making?

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate if structured reports (SR) of pelvic magnetic resonance imaging (MRI) scans using the PALM‐COEIN FIGO (the International Federation of Gynecology & Obstetrics) uterine leiomyomas classification (SR‐FIGO) contain adequate information for clinical decision making compared with narrative reports (NR). Methods Three reporting
Laura Tordjman   +8 more
wiley   +1 more source

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