Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis - Top-Institutions - MDSpire

Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis

  • By

  • Maryana Mandrina

  • Tigran Gevorkyan

  • Sergey Zvezda

  • Valeria Pavlova

  • Rukiyat Abdulaeva

  • Mariam Manukyan

  • Yana Belenkaya

  • Sergey Gordeyev

  • Ivan Stilidi

  • June 23, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    North Estonia Medical Centre (NEMC) Foundation
    North Estonia Medical Centre (NEMC) Foundation

    Tallinn, Estonia

    Key Differentiators

    • Oncology

  • #2

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    Key Differentiators

    • Oncology

  • #3

    ECOG-ACRIN Cancer Research Group
    ECOG-ACRIN Cancer Research Group

    Philadelphia, Pennsylvania

    Key Differentiators

    • Oncology

  • #4

    Mount Sinai Tisch Cancer Center
    Mount Sinai Tisch Cancer Center

    New York, New York

    Key Differentiators

    • Oncology

Original Source(s)

Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis

  • by Maryana Mandrina, Tigran Gevorkyan, Sergey Zvezda, Valeria Pavlova, Rukiyat Abdulaeva, Mariam Manukyan, Yana Belenkaya, Sergey Gordeyev, Ivan Stilidi

  • June 23, 2026

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