Transformative Artificial Intelligence in Gastric Cancer: Advancements in Diagnostic Techniques Publisher Pubmed



Khosravi M^{1, 5} ; Jasemi SK^{1, 5} ; Hayati P^{1, 5} ; Javar HA^{3, 5} ; Izadi S^{4, 5} ; Izadi Z^{2, 5} Show Affiliations
Source: Computers in Biology and Medicine Published:2024

Abstract

Gastric cancer represents a significant global health challenge with elevated incidence and mortality rates, highlighting the need for advancements in diagnostic and therapeutic strategies. This review paper addresses the critical need for a thorough synthesis of the role of artificial intelligence (AI) in the management of gastric cancer. It provides an in-depth analysis of current AI applications, focusing on their contributions to early diagnosis, treatment planning, and outcome prediction. The review identifies key gaps and limitations in the existing literature by examining recent studies and technological developments. It aims to clarify the evolution of AI-driven methods and their impact on enhancing diagnostic accuracy, personalizing treatment strategies, and improving patient outcomes. The paper emphasizes the transformative potential of AI in overcoming the challenges associated with gastric cancer management and proposes future research directions to further harness AI's capabilities. Through this synthesis, the review underscores the importance of integrating AI technologies into clinical practice to revolutionize gastric cancer management. © 2024 Elsevier Ltd