关键词： 人工智能   电子信息技术   智能化社会   数据处理   未来发展趋势  

摘要： 随着信息技术的快速发展,人工智能(AI)在电子信息领域的应用日益广泛,推动了行业的革新与发展。本文旨在分析基于人工智能的电子信息技术发展趋势,探讨其在各个领域中的实际应用与未来前景。首先,文章回顾了人工智能在电子信息技术中的主要应用方向,包括智能通信、数据处理、自动化控制等领域。其次,采用文献综述法和趋势预测法,系统分析了AI技术在提升电子信息处理效率、优化资源配置、增强系统智能化等方面的影响。研究发现,随着深度学习、自然语言处理和大数据分析等技术的不断进步,AI有望在5G通信、物联网、大数据分析等前沿领域发挥更加重要的作用。此外,AI的普及也面临数据隐私保护、算法透明性等挑战,需要在技术进步的同时加强相应的法律法规建设。最后,本文总结了人工智能技术在电子信息领域未来发展的潜力,认为其将持续推动行业的数字化转型,助力智能化社会的建设。研究成果为相关学术研究和产业应用提供了有价值的参考。

关键词： Artificial intelligence   Capsule endoscopy   China   Expert consensus  

摘要： Capsule endoscopy is a first-line investigative modality for small intestine diseases. Magnetically controlled capsule endoscopy is also increasingly prominent in the diagnosis of upper gastrointestinal tract diseases. Artificial intelligence (AI) technology plays an important role in the quality control and auxiliary diagnosis of capsule endoscopy. However, currently there is no consensus on the application of AI systems for capsule endoscopy at home and abroad. In 2024, Big Data Collaboration Group, Digestive Endoscopy Branch of Chinese Medical Association organized discussions among authoritative experts in the field across the country, combined with the latest evidence-based medical evidence, and formed expert consensus on the clinical application of AI systems in capsule endoscopy, aiming to provide comprehensive and rational decision-making evidence for endoscopists applying capsule endoscopic AI systems. This consensus includes 9 recommended statements on AI in the quality control in capsule endoscopic examinations, the auxiliary detection of gastrointestinal lesions, the diagnosis of small intestinal bleeding lesions, the diagnosis of Crohn disease, and the diagnosis of colonic elevated lesions. © 2025 Chinese Medical Journals Publishing House ***. All rights reserved.

关键词： 高职英语教学   个性化学习路径   人工智能   教学改革   教学策略调整  

摘要： 本研究聚焦于高职英语教学的改革与创新,探索了一种新型的个性化学习路径.通过整合人工智能技术,构建了涵盖学习需求分析、目标设定、内容推荐、活动安排和评价反馈的个性化教学框架.该路径在实践中取得了显著成效,不仅提升了学生的英语应用能力,还提升了学生学习的主动性和课堂互动.

关键词： 人工智能   课堂教学   提质增效  

摘要： 人工智能作为前沿技术,革新了教师备课—上课—出题—批阅—反思的整体流程.在备课阶段,它快速转化教学目标为教案框架,智能推送教学资源,并生成分层教学材料.上课时,助力教师实时掌握学生理解情况,提供多样化互动场景.出题与考试方面,高效组卷,避免重复或超纲题,并生成针对性强化练习.作业批改与反馈实现秒级批改,提供鼓励性语音反馈.教学反思与优化上,利用数据分析生成知识掌握热力图和个体进步趋势图,智能推荐教学策略,优化课堂表现.人工智能技术让教师从烦琐工作中解脱,专注教学创新与学生关怀,实现"减负增效",推动教育向高效、个性化发展.

关键词： 小肝癌   无创诊断   生物标志物   影像学技术   人工智能  

摘要： The diagnosis of small liver cancer is crucial to improving the survival rate of patients. However, traditional diagnostic methods are highly invasive, so the development of non-invasive diagnostic techniques is particularly important. In recent years, non-invasive diagnostic techniques have shown good prospects in the early-stage detection of liver cancer. Therefore, current research focuses on biomarkers, imaging technologies, and artificial intelligence applications. This article aims to review the latest advances in non-invasive diagnostic technologies, discuss their advantages and challenges in clinical application, and look forward to future research directions so as to provide a reference for further improving the diagnosis rate of small liver cancer.

关键词： Artificial intelligence   Gesture recognition   Surgical gesture   Surgical skill assessment   Surgical training  

摘要： With the advancements in artificial intelligence (AI), computational power, and surgical robotics, the analysis of surgical performance at the granular level of individual surgical gestures has become feasible. Surgical gestures, defined as the smallest independent units of inter-action between surgical instruments and tissues, offer a quantifiable framework for surgical skill assessment. Evidence suggests that the selection and execution of surgical gestures are strongly correlated with the expertise of the surgeon and patient outcomes, underscoring their significance in both surgical training and clinical practice. Moreover, the establishment of a standardized classifi-cation system for surgical gestures and the adoption of uniform terminology have the potential to improve communication efficiency during surgical education and training. The authors synthesize existing classification systems for surgical gestures, with a focus on their applications in diverse tasks such as suturing, exposure and dissection. By examining the latest advancements in AI models applied to surgical gesture, as well as the current research landscape of surgical gesture recognition in digestive surgery, the authors explore the potential applications of such technologies in assisting surgeons during operations in the future. © 2025 Chinese Medical Journals Publishing House ***. All rights reserved.

关键词： 人工智能   中小学课程   课程开发  

摘要： 随着人工智能技术快速发展,中小学课程实施面临新的机遇与挑战.人工智能背景下中小学课程实施主要风险包括偏离培养目标定位、课程内容有"偏见"、教师作用被边缘化以及课程评价趋向"非人性化"等.应对策略更注重学生核心素养培养,重构课程内容体系,重塑教师核心地位,构建多元评价体系,推动人工智能与中小学课程融合,深化课程改革与发展.