Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Journal: Cancer control : journal of the Moffitt Cancer Center
Published Date: Jan 1, 2022

Abstract

INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificial Intelligence (AI) and Machine Learning (ML) techniques and their applications in various fields have brought immense value in providing insights into advancement in support of cancer control.

Authors

  • Ibrahim H Musa
    Department of Software Engineering, School of Computer Science and Engineering, Southeast University, Nanjing, China.
  • Lukman O Afolabi
    Guangdong Immune Cell Therapy Engineering and Technology Research Center, Center for Protein and Cell-Based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Ibrahim Zamit
    University of Chinese Academy of Sciences, Beijing, China.
  • Taha H Musa
    Biomedical Research Institute, Darfur University College, Nyala, South Darfur, Sudan.
  • Hassan H Musa
    12462Faculty of Medical Laboratory Sciences, University of Khartoum, Khartoum, Sudan.
  • Andrew Tassang
    Faculty of Health Sciences, University of Buea, Cameroon.
  • Tosin Y Akintunde
    Department of Sociology, School of Public Administration, Hohai University, Nanjing, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

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