结直肠癌是全球最常见的恶性肿瘤之一，由于患者对标准治疗方案存在异质性的治疗反应及预后，其个性化诊疗策略一直是备受关注的研究热点。近年来，随着人工智能（AI）技术在医疗领域的迅猛发展，AI在辅助结直肠癌的术前、术中、术后各阶段诊疗方案决策方面均涌现出大量阶段性研究成果，展现出了巨大的应用潜力，为结直肠癌患者的个体化评估和辅助诊疗提供了全新且高效的解决方案。未来，AI系统可能会进一步向多模态、多组学、实时化方向发展。本文旨在探讨AI在结直肠癌诊疗多个方面的辅助应用研究现状，并对AI技术在未来结直肠癌个性化诊疗中可能带来的创新和面临的挑战予以展望。 Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.
Research progress and prospects of artificial intelligence in diagnosis and treatment of colorectal cancer
Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.
Artificial intelligenceColorectal neoplasmsSurgical navigationMedical imagingPrecision medicine
万方数据
