Zhao ZX. Application of artificial intelligence in primary gastrointestinal lymphoma: Opportunities, development potential, and future directions. World J Gastrointest Oncol 2026; 18(8): 116357 [DOI: 10.4251/wjgo.116357]
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Zhao ZX. Application of artificial intelligence in primary gastrointestinal lymphoma: Opportunities, development potential, and future directions. World J Gastrointest Oncol 2026; 18(8): 116357 [DOI: 10.4251/wjgo.116357]
World J Gastrointest Oncol. Aug 15, 2026; 18(8): 116357 Published online Aug 15, 2026. doi: 10.4251/wjgo.116357
Application of artificial intelligence in primary gastrointestinal lymphoma: Opportunities, development potential, and future directions
Zong-Xian Zhao
Zong-Xian Zhao, Department of Anorectal Surgery, Fuyang People’s Hospital, Fuyang 236000, Anhui Province, China
Author contributions: Zhao ZX designed and wrote the manuscript.
AI contribution statement: Regarding the use of artificial intelligence (AI), we only utilized DeepSeek for text polishing. No AI tools were employed for main text generation, translation, data analysis, or image creation in this study.
Conflict-of-interest statement: The author declare no conflict of interest in publishing the manuscript.
Received: November 10, 2025 Revised: November 29, 2025 Accepted: January 6, 2026 Published online: August 15, 2026 Processing time: 265 Days and 23.6 Hours
Abstract
Primary gastrointestinal lymphoma (PGIL) is a relatively rare subtype of extranodal lymphoma in clinical practice. Occult primary sites, nonspecific clinical manifestations, and complex imaging and pathological features pose significant challenges to the diagnosis and treatment of the disease. Yang et al reported an in-depth analysis of the clinicopathological characteristics of PGIL from a surgical perspective in World Journal of Gastrointestinal Oncology. It not only provided valuable practical suggestions for the clinical management of this disease but also offered an important opportunity to further explore the diagnostic and therapeutic dilemmas of the disease. With the rapid development and breakthroughs of artificial intelligence technology in medicine, it has offered brand-new ideas for solving the diagnostic difficulties of PGIL, and become a key direction for promoting the precise diagnosis and treatment of this disease. This editorial focuses on discussing the application value, development potential, and research ideas of artificial intelligence technology in the diagnosis and treatment of PGIL, with an aim to provide useful inspiration for clinical researchers.
Core Tip: As pointed out by Yang et al, primary gastrointestinal lymphoma (PGIL) remains challenging in diagnosis and treatment, with misdiagnosis and suboptimal therapies persisting. Artificial intelligence (AI) shows great potential in optimizing PGIL’s diagnosis (radiomics, endoscopy, and pathology) and treatment (subtype identification, regimen selection, and complication prediction). However, AI faces hurdles like scarce standardized datasets, poor interpretability, and data security risks. With sustained research, cross-disciplinary collaboration, and standardized efforts, AI is expected to become a standard clinical tool to improve PGIL patient outcomes.
