Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis.

ABSTRACT:

Background

Breast cancer (BC), as a leading cause of cancer mortality in women, demands robust prediction models for early diagnosis and personalized treatment. Artificial Intelligence (AI) and Machine Learning (ML) algorithms offer promising solutions for automated survival prediction, driving this study's systematic review and meta-analysis.

Methods

Three online databases (Web of Science, PubMed, and Scopus) were comprehensively searched (January 2016-August 2023) using key terms ("Breast Cancer", "Survival Prediction", and "Machine Learning") and their synonyms. Original articles applying ML algorithms for BC survival prediction using clinical data were included. The quality of studies was assessed via the Qiao Quality Assessment tool.

Results

Amongst 140 identifie

SUBMITTER: Javanmard Z 

PROVIDER: S-EPMC11747035 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature