Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.
Chin Med Sci J
; 36(3): 196-203, 2021 Sep 30.
Article
en En
| MEDLINE
| ID: mdl-34666872
Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multiple clinical scenarios of ovarian cancer, especially in the field of medical imaging. AI-assisted imaging studies have involved computer tomography (CT), ultrasonography (US), and magnetic resonance imaging (MRI). In this review, we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer, and bring up the advances in terms of four clinical aspects, including medical diagnosis, pathological classification, targeted biopsy guidance, and prognosis prediction. Meanwhile, current status and existing issues of the researches on AI application in ovarian cancer are discussed.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias Ováricas
/
Inteligencia Artificial
Tipo de estudio:
Guideline
/
Prognostic_studies
Límite:
Female
/
Humans
Idioma:
En
Revista:
Chin Med Sci J
Asunto de la revista:
TERAPIAS COMPLEMENTARES
Año:
2021
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
China