Application of artificial intelligence in early screening of pancreatic cancer and nursing strategies
人工智能在胰腺癌早期筛查中的应用及护理应对策略

摘要

胰腺癌作为高度恶性肿瘤，具有病死率高、早期诊断率低的特点，全球5年相对生存率仅约10%，而ⅠA期患者经根治术后5年生存率可超80%，早期筛查对改善患者预后至关重要。本文综述了人工智能（AI）技术在胰腺癌早期筛查中的应用现状，包括AI在CT（Computed Tomography）、MRI（Magnetic Resonance Imaging）、PET-CT（Positron Emission Tomography-Computed Tomography）等影像学分析及生物标志物检测、多模态数据分析中的具体应用；分析了AI技术在提高筛查准确性与效率方面的显著优势，以及面临的数据隐私安全、模型可解释性不足、跨机构数据异质性等挑战；提出了针对性的护理应对策略，涵盖早期筛查的护理流程优化、筛查结果的护理管理及护理人员的培训与技能提升。最后展望了AI技术在胰腺癌早期筛查中的发展前景，为临床精准筛查与优质护理提供参考。

Abstract

As a highly malignant tumor, pancreatic cancer is characterized by high mortality and low early diagnosis rate. The global 5-year relative survival rate is only about 10%, while the 5-year survival rate of stage ⅠA patients after radical surgery can exceed 80%. Early screening is crucial to improve the prognosis of patients. This paper reviews the current application of artificial intelligence (AI) in the early screening of pancreatic cancer, including its specific applications in imaging analysis such as CT（Computed Tomography）, MRI（Magnetic Resonance Imaging） and PET-CT（Positron Emission Tomography-Computed Tomography）, biomarker detection and multimodal data analysis. It analyzes the significant advantages of AI in improving the accuracy and efficiency of screening, as well as the challenges including data privacy and security, insufficient model interpretability and cross-institutional data heterogeneity. Targeted nursing strategies are proposed, covering the optimization of nursing procedures for early screening, nursing management of screening results, and training and skill improvement of nursing staff. Finally, the development prospects of AI in the early screening of pancreatic cancer are prospected, providing a reference for clinical precise screening and high-quality nursing.