Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies

Ganji Purnachandra Nagaraju1, Tatekalva Sandhya2, Mundla Srilatha3

  • 1School of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.

Cancer Letters
|January 14, 2025
PubMed

Insights

Artificial intelligence (AI) can enhance gastrointestinal (GI) cancer care by improving early detection, personalizing treatments through genomic data analysis, and predicting patient responses. This technology offers a transformative approach to improving survival rates and patient outcomes in GI oncology.

Area of Science:

  • Oncology
  • Biotechnology
  • Medical Informatics

Background:

  • Gastrointestinal (GI) malignancies represent a significant global health burden, contributing to high cancer mortality rates worldwide.
  • Advances in precision medicine and technology have improved survival, highlighting the critical role of early detection.
  • Artificial intelligence (AI) emerges as a pivotal technology with the potential to revolutionize GI cancer care.

Purpose of the Study:

  • To review the transformative potential of Artificial Intelligence (AI) in the field of Gastrointestinal (GI) oncology.
  • To emphasize the integration of AI-based technologies for enhancing patient care, screening, and treatment strategies.
  • To explore AI's role in accelerating targeted therapy development and personalizing treatment approaches.

Main Methods:

  • Analysis of current literature on AI applications in GI oncology.
  • Review of AI's capabilities in processing genomic data and identifying biomarkers.
  • Examination of AI's predictive power for patient treatment responses.

Main Results:

  • AI can significantly improve GI cancer screening and early detection rates.
  • AI facilitates the analysis of vast genomic datasets to identify novel biomarkers for GI tumors.
  • AI enhances treatment efficacy by predicting patient responses and enabling personalized therapeutic strategies, reducing side effects.

Conclusions:

  • AI holds transformative potential for GI oncology, offering personalized and effective patient care.
  • Integrating AI into clinical practice can lead to improved patient outcomes and survival rates for GI malignancies.
  • AI-driven insights pave the way for more tailored and efficient treatment regimens in GI cancer management.