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

Journal: Frontiers in oncology
Published Date: Jan 7, 2025

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.

Authors

  • Zohreh Javanmard
    Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
  • Saba Zarean Shahraki
    Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Kosar Safari
    Department of Aerospace Engineering, Khaje Nasir Toosi University of Technology, Tehran, Iran.
  • Abbas Omidi
    Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada.
  • Sadaf Raoufi
    Department of Computer Science, University of Arizona, Tucson, AZ, United States.
  • Mahsa Rajabi
    Department of Electrical Engineering, University of Guilan, Rasht, Iran.
  • Mohammad Esmaeil Akbari
    Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mehrad Aria
    Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Keywords

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