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Dataset Information

Artificial intelligence in polycystic ovarian syndrome management: past, present, and future.


ABSTRACT:

Background

Integrating artificial intelligence (AI) prospected in the practical clinical management of polycystic ovary syndrome (PCOS) promised significant improvement in efficiency, interpretability, and generalizability.

Purpose

To delineate a comprehensive inventory of AI-driven interventions pertinent to PCOS across diverse clinical contexts.

Evidence reviews

AI-based analytics profoundly transformed the management of PCOS, particularly in the domains of prediction, diagnosis, classification, and screening of potential complications.

Results

Our analysis traced the principal applications of AI in PCOS management, focusing on prediction, diagnosis, classification, and screening. Furthermore, this study ventures into the potential of amalgamating and augment

SUBMITTER: Wang J 

PROVIDER: S-EPMC12454626 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature