Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis.

Journal: BMC gastroenterology
PMID: 40301768

Abstract

BACKGROUND AND AIM: Artificial intelligence (AI) networks offer significant potential for predicting immunotherapy outcomes in gastrointestinal cancers by analyzing genetic mutation profiles. Their application in prognosis remains underexplored. This systematic review and meta-analysis aim to evaluate the effectiveness of AI-based models, which refers to systems utilizing artificial intelligence to analyze data and make predictions, in predicting immunotherapy responses in gastrointestinal cancers using genetic mutation features.

Authors

  • Narges Norouzkhani
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hesam Mobaraki
    Faculty of Medicine, İstanbul Yeniyuzyil University, Istanbul, Turkey.
  • Shirin Varmazyar
    School of Medicine, Shahroud University of Medical Sciences, Shahrud, Iran.
  • Hadis Zaboli
    Student Research Committee, Babol University Medical Science, Babol, Iran.
  • Zhina Mohamadi
    School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Golnaz Nikeghbali
    School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Kamyar Bagheri
    Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran.
  • Newsha Marivany
    Student Research Committee, Zanjan University of Medical Sciences, Zanjan, Iran.
  • Mirmehdi Najafi
    Universal Scientific Education and Research Network (USERN), Tehran, Iran.
  • Mahdiyeh Nozad Varjovi
    Student Research Committee, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Mohamed Abouzeid
    Mersey & West Lancashire Teaching Hospitals NHS Trust, Southport Hospital, Lancashire, UK. muhamedabozeid@gmail.com.
  • Hanieh Zeidi Baghrabad
    Tabriz University of Medical Sciences, Gastroenterology and Hepatology Research Center, Tabriz, Iran.
  • Pooya Eini
    Toxicological Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Aida Azhdarimoghaddam
    Student Research Committee, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
  • Farbod Khosravi
    School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mahsa Asadi Anar
    Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Keywords

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