新质生产力在外科研究与新技术中的应用

doi:10.3969/j.issn.2095-378X.2025.04.001

摘要/Abstract

摘要： 人工智能（AI）及生成式预训练转换器（GPT）在外科领域已经展现出独特价值。通过深度学习,AI能快速处理海量医学数据,为影像识别、疾病预测及手术方案优化提供可靠支持。如AI可整合患者基因组信息、生活习惯与病史特征,量身定制诊疗建议。GPT还可模拟临床决策机制,助力复杂病例的治疗规划。物联网（IoT）技术在外科领域的应用,可使跨区域医疗资源实现高效共享与协同合作。通过实时采集和传输生理指标数据,医生可全面掌控患者病情,实现精确手术控制和远程协作。在远程手术时,IoT能将术野细节即时传送给远端专家,为偏远地区带来优质医疗服务机会。元宇宙技术借助虚拟现实（VR）与增强现实（AR）,彻底改变传统外科培训方式。通过三维重建技术构建患者器官模型,医生可直观规划手术方案。沉浸式虚拟手术室可为医学生和进修医生提供安全实操环境。这种创新培训体系不仅显著提升教学效率,还缩短了临床技能培养周期。随着AI、IoT与元宇宙技术持续进步并深度融合,外科诊疗将进入更加智能化的发展阶段。个性化医疗方案制定、资源优化配置以及高仿真手术训练体系将成为现实。这些创新成果的协同应用,必将全面提升外科诊疗水平和服务能力。

关键词: 人工智能, 生成式预训练转换器, 自然语言处理, 物联网, 虚拟现实, 增强现实, 外科学

Abstract: Artificial intelligence （AI） and generative pre-trained transformer （GPT） have shown unique value in the field of surgery. Through deep learning, AI can quickly process massive medical data, providing reliable support for image recognition, disease prediction, and surgical plan optimization. For example, AI can integrate patient genomic information, lifestyle habits, and medical history characteristics to tailor diagnosis and treatment recommendations. GPT can also simulate clinical decision-making mechanisms to assist in treatment planning for complex cases. The application of internet of things （IoT） technology in the field of surgery can enable efficient sharing and collaborative cooperation of cross-regional medical resources. By collecting and transmitting physiological indicator data in real time, physicians can fully control patient's condition and achieve precise surgical control and remote collaboration. During remote surgery, IoT can instantly transmit surgical field details to remote experts, bringing high-quality medical services to remote areas. Metaverse technology uses virtual reality （VR） and augmented reality （AR） to revolutionize traditional surgical training methods. By constructing a patient's organ model through 3D reconstruction technology, physicians can intuitively plan surgical plans. Immersive virtual operating rooms provide a safe, hands-on environment for medical students and trainee physicians. This innovative training system not only significantly improves teaching efficiency, but also shortens the clinical skills training cycle. With the continuous progress and deep integration of AI, IoT, and metaverse technologies, surgical diagnosis and treatment will enter a more intelligent development stage. The formulation of personalized medical plans, the optimal allocation of resources, and the high-simulation surgical training system will become a reality. The collaborative application of these innovative achievements will comprehensively leverage surgical diagnosis and treatment and service capabilities.

Key words: Artificial intelligence, Generative Pre-trained Transformer, Natural language processing, Internet of things, Virtual reality, Augmented reality, Surgery

中图分类号:

R319

李春, 白春学. 新质生产力在外科研究与新技术中的应用[J]. 外科研究与新技术（中英文）, 2025, 14(4): 299-306.

LI Chun, BAI Chunxue. Application of new quality productive forces in surgical research and emerging technologies[J]. Surgical Research and New Technique, 2025, 14(4): 299-306.

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