Artificial intelligence in ovarian cancers- from diagnosis to treatment; a literature review

Artificial intelligence in ovarian cancers- from diagnosis to treatment; a literature review

Ovarian cancer remains the most lethal gynecological malignancy due to challenges in early detection stemming from a lack of reliable biomarkers. Despite this, various laboratory tests are commonly employed in clinical practice, some showing diagnostic and prognostic promise for ovarian cancer. This...

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Bibliographic Details
Main Authors: Cristina Bucur, Irina Balescu, Sorin Petrea, Bodan Gaspar, Lucian Pop, Valentin Varlas, Marilena Stoian, Cristian Balalau, Nicolae Bacalbasa
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Journal of Mind and Medical Sciences
Subjects:
ovarian cancer
management
artificial intelligence
diagnosis
treatment
Online Access:https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1531&context=jmms
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https://scholar.valpo.edu/cgi/viewcontent.cgi?article=1531&context=jmms

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