智能化与个体化时代的胃癌外科

Gastric cancer surgery in the era of intelligence and individualization

  • 摘要: 智能化与个体化时代,胃癌外科治疗呈现多维度发展。笔者聚焦人工智能(AI)在胃癌外科的诊断与决策、治疗与药物研发、以及术后康复领域的前沿进展和未来挑战。在诊断方面,AI 结合影像学检查、液体活检、病理学诊断及多模态分析,提升诊断全面性与准确性;在决策方面,AI辅助制订个体化治疗方案,进行风险评估与预后预测;在治疗方面,AI推动个体化手术发展、辅助术后随访与医师教育培训;在药物研发方面,虚拟细胞和AlphaFold模型的引入提高了疾病机制和临床研究的效率和准确性;在术后康复指导方面,AI为患者提供个性化指导,优化治疗效果。AI在胃癌外科的诊断与决策、治疗与药物研发以及术后康复领域具有广阔前景,但目前AI技术面临数据共享与隐私保护、多中心研究与模型泛化、人机协作、可解释性、医学伦理及可持续性与普及性等挑战,未来需多方努力解决,以充分发挥 AI 在胃癌诊断与治疗中的优势。

     

    Abstract: In the era of intelligence and individualization, gastric cancer surgery is under-going multidimensional advancements. The authors focus on the cutting‑edge progress and future challenges of artificial intelligence (AI) in the diagnosis and decision‑making, treatment and drug development, as well as postoperative rehabilitation in gastric cancer surgery. In terms of diagnosis, AI integrates imaging, liquid biopsy, pathology, and multimodal technologies to enhance diagnostic comprehensiveness and accuracy. Regarding decision‑making, AI assists in formulating personalized treatment plans, conducting risk assessments, and predicting prognoses. In the treatment domain, AI facilitates the advancement of individualized surgical approaches, supports postoperative follow-up, and aids in physician education and training. In drug development, the introduction of virtual cell models and AlphaFold has improved the efficiency and accuracy of mechanistic and clinical research. For postoperative rehabilitation guidance, AI provides personalized recommendations to optimize treatment outcomes.AI holds great promise in gastric cancer surgery across diagnosis and decision-making, treatment and drug development, and postoperative rehabilitation. However, current AI technologies face challenges such as data sharing and privacy protection, multicenter research and model generalization, human‑machine collaboration, interpretability, ethical considerations, sustaina-bility, and widespread adoption. Addressing these challenges will require collective efforts to fully leverage AI′s advantages in gastric cancer diagnosis and treatment.

     

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