Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers.

Journal: Briefings in functional genomics
PMID: 39736152

Abstract

OBJECTIVE: The primary objective of this study is to investigate various applications of artificial intelligence (AI) and statistical methodologies for analyzing and managing peritoneal metastases (PM) caused by gastrointestinal cancers.

Authors

  • Adam Wojtulewski
    Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa FL 33612, United States.
  • Aleksandra Sikora
    Department of Medicine, Medical University of Warsaw, Żwirki i Wigury 61, 02-091 Warszawa, Poland.
  • Sean Dineen
    Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa FL 33612, United States.
  • Mustafa Raoof
    City of Hope National Medical Center, Duarte, California.
  • Aleksandra Karolak
    Department of Machine Learning, Moffitt Cancer Center, Tampa, Florida. Electronic address: aleks.karolak@moffitt.org.

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