Ardila Carlos M, González-Arroyave Daniel, Ramírez-Arbeláez Jaime
Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia U de A, Medellín 050010, Antioquia, Colombia.
Department of Periodontics, Saveetha Dental College, and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Saveetha, Saveetha 600077, India.
World J Gastrointest Oncol. 2025 May 15;17(5):103275. doi: 10.4251/wjgo.v17.i5.103275.
With gastric cancer ranking among the most prevalent and deadly malignancies worldwide, early detection and individualized prognosis remain essential for improving patient outcomes. This letter discusses recent advancements in artificial intelligence (AI)-driven predictive tools for gastric cancer, emphasizing a computed tomography-based radiomic model that achieved a predictive accuracy of area under the curve of 0.893 for treatment response in advanced cases undergoing neoadjuvant immunochemotherapy. AI offers promising avenues for predictive accuracy and personalized treatment planning in gastric oncology. Additionally, this letter highlights the comparison of these AI tools with traditional methodologies, demonstrating their potential to streamline clinical workflows and address existing gaps in risk stratification and early detection. Furthermore, this letter addresses the ethical considerations and the need for robust clinical-AI collaboration to achieve reliable, transparent, and unbiased outcomes. Strengthening cross-disciplinary efforts will be vital for the responsible and effective deployment of AI in this critical area of oncology.
胃癌是全球最常见且致命的恶性肿瘤之一，早期检测和个体化预后对于改善患者预后仍然至关重要。本文讨论了人工智能（AI）驱动的胃癌预测工具的最新进展，重点介绍了一种基于计算机断层扫描的放射组学模型，该模型在接受新辅助免疫化疗的晚期病例中，对治疗反应的曲线下面积预测准确率达到了0.893。人工智能为胃癌肿瘤学中的预测准确性和个性化治疗规划提供了有前景的途径。此外，本文强调了这些人工智能工具与传统方法的比较，展示了它们简化临床工作流程以及解决风险分层和早期检测中现有差距的潜力。此外，本文还讨论了伦理考量以及强大的临床-人工智能合作对于实现可靠、透明和无偏差结果的必要性。加强跨学科努力对于在这一关键肿瘤学领域负责任且有效地部署人工智能至关重要。
