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The standardized design and application guidelines: A primary-oriented artificial intelligence screening system of the lesion sign in the macular region based on fundus color photography

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Intelligent Medicine 2023年第3期3卷 213-227页

作者： Ocular Fundus Diseases Group of Chinese Ophthalmological Society Expert Group for artificial intelligence Research,Development,and Application Xiaoxin Li Ming Zhang Yanwu Xu 不详 Fujian Provincial Key Laboratory of Ocular Surface and Corneal Diseases Eye Institute and Affiliated Xiamen Eye Center of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenFujian 361001China Department of Ophthalmology West China HospitalSichuan UniversityChengduSichuan 610044China Beijing Baidu Netcom Science Technology Co.Ltd.Beijing 100085 China

With the popularity and development of artificial intelligence(AI),disease screening systems based on AI algorithms are gradually emerging in the medical *** systems can be used for primary screening of diseases to relieve the pressure on primary health *** recent years,AI algorithms have demonstrated good performance in the analysis and identification of lesion signs in the macular region of fundus color photography,and a screening system for fundus lesion signs applicable to primary screening is bound to emerge in the ***,to standardize the design and clinical application of macular region lesion sign screening systems based on AI algorithms,the Ocular Fundus Diseases Group of Chinese Ophthalmological Society,in collaboration with relevant experts,developed this guideline after investigating issues,discussing production evidence,and holding guideline *** aimed to establish uniform standards for the definition of the macular region and lesion signs,AI adoption scenarios,algorithm model construction,dataset establishment and labeling,architecture and function design,and image data acquisition for the screening system to guide the implementation of the screening work.

关键词： artificial intelligence Screening of the lesion sign in the macular region Primary screening Fundus color photography Lesion sign analysis

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Guidelines on clinical research evaluation of artificial intelligence in ophthalmology(2023)

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International Journal of Ophthalmology(English edition) 2023年第9期16卷 1361-1372页

作者： Wei-Hua Yang Yi Shao Yan-Wu Xu Expert Workgroup of Guidelines on Clinical Research Evaluation of artificial intelligence in Ophthalmology(2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Intelligent Medicine Committee of Chinese Medicine Education Association Shenzhen Eye Institute Shenzhen Eye HospitalShenzhen 518040Guangdong ProvinceChina The First Affiliated Hospital of Nanchang University Nanchang 330006Jiangxi ProvinceChina School of Future Technology South China University of TechnologyGuangzhou 510641Guangdong ProvinceChina Pazhou Lab Guangzhou 510320Guangdong ProvinceChina 不详

With the upsurge of artificial intelligence(AI)technology in the medical field,its application in ophthalmology has become a cutting-edge research ***,machine learning techniques have shown remarkable achievements in diagnosing,intervening,and predicting ophthalmic *** meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI,the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and *** main content includes the background and method of developing this guideline,an introduction to international guidelines on the clinical research evaluation of AI,and the evaluation methods of clinical ophthalmic AI *** guideline introduces general evaluation methods of clinical ophthalmic AI research,evaluation methods of clinical ophthalmic AI models,and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail,and amply elaborates the evaluation methods of clinical ophthalmic AI *** guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI,promote the development of regularization and standardization,and further improve the overall level of clinical ophthalmic AI research evaluations.

关键词： artificial intelligence ophthalmology evaluation clinical research machine learning deep learning

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Expert recommendation on collection,storage,annotation,and management of data related to medical artificial intelligence

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智慧医学(英文) 2023年第2期3卷 144-149页

作者： Yahan Yang Ruiyang Li Yifan Xiang Duoru Lin Anqi Yan Wenben Chen Zhongwen Li Weiyi Lai Xiaohang Wu Cheng Wan Wei Bai Xiucheng Huang Qiang Li Wenrui Deng Xiyang Liu Yucong Lin Pisong Yan Haotian Lin Chinese Association of artificial intelligence Medical artificial intelligence Branch of Guangdong Medical Association Zhongshan Ophthalmic Center Sun Yat-sen UniversityState Key Laboratory of OphthalmologyGuangzhouGuangdong 510623China Zhongshan School of Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China Nanjing University of Aeronautics and Astronautics NanjingJiangsu 210016China Institute of Software Engineering School of Computer Science and TechnologyXidian UniversityXi’anShaanxi 710071China Cloud Intelligent Care Tech.Ltd. GuangzhouGuangdong 510115China Centre for Precision Medicine Sun Yat-sen UniversityGuangzhouGuangdong 510080China 不详

Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based *** has a massive amount of medical ***,a uniform criteria for medical data quality have yet to be ***,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical *** would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.

关键词： artificial intelligence Big data Intelligent medicine Data collection Data storage Data annotation Data management

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Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases(2023)

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International Journal of Ophthalmology(English edition) 2023年第9期16卷 1373-1385页

作者： Yi Shao Ying Jie Zu-Guo Liu Expert Workgroup of Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases(2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Ophthalmology Committee of International Association of Translational Medicine Chinese Ophthalmic Imaging Study Groups Department of Ophthalmology the First Affiliated Hospital of Nanchang UniversityNanchang UniversityNanchang 330006Jiangxi ProvinceChina Beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology&Visual Sciences Key LaboratoryBeijing 100730China Eye Institute of Xiamen University Xiamen 361102Fujian ProvinceChina 不详

The landscape of ophthalmology has obser ved monumental shifts with the advent of artificial intelligence(AI)*** article is devoted to elaborating on the nuanced application of AI in the diagnostic realm of anterior segment eye diseases,an area ripe with potential yet complex in its imaging ***,AI’s entrenchment in ophthalmology was predominantly rooted in the posterior ***,the evolution of machine learning paradigms,particularly with the advent of deep learning methodologies,has reframed the *** combined with the exponential surge in available electronic image data pertaining to the anterior segment,AI’s role in diagnosing corneal,conjunctival,lens,and eyelid pathologies has been solidified and has emerged from the realm of theoretical to *** light of this transformative potential,collaborations between the Ophthalmic Imaging and Intelligent Medicine Subcommittee of the China Medical Education Association and the Ophthalmology Committee of the International Translational Medicine Association have been *** eminent bodies mobilized a consortium of experts to dissect and assimilate advancements from both national and international *** mandate was not limited to AI’s application in anterior segment pathologies like the cornea,conjunctiva,lens,and eyelids,but also ventured into deciphering the existing impediments and envisioning future *** iterative deliberations,the consensus synthesized herein serves as a touchstone,assisting ophthalmologists in optimally integrating AI into their diagnostic decisions and bolstering clinical *** this guideline,we aspire to offer a comprehensive framework,ensuring that clinical decisions are not merely informed but transformed by *** building upon existing literature yet maintaining the highest standards of originality,this document stands as a testament to both innovation and academic integrity,in line with the e

关键词： artificial intelligence corneal disease lens disease conjunctive disease eyelid disease guideline

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Releasing of The White Paper on Medical Imaging artificial intelligence in China

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中国医学科学杂志（英文版） 2019年第2期

作者： Chinese Innovative Alliance of Industry Education Research and Application of artificial intelligence for Medical Imaging

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人工智能行业的发展态势及人才现状分析

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中国大学生就业 2024年第8期 31-42,50页

作者：《2024人工智能行业人才报告》课题组不详

本文深入探讨了人工智能行业的发展态势及其对行业人才的深刻影响。通过分析当前人工智能行业的主要发展趋势,结合数据着重讨论了人工智能行业的人才现状,指出人才供需和就业等问题,针对性提出了应对人工智能行业人才问题的措施建议。... 详细信息

本文深入探讨了人工智能行业的发展态势及其对行业人才的深刻影响。通过分析当前人工智能行业的主要发展趋势,结合数据着重讨论了人工智能行业的人才现状,指出人才供需和就业等问题,针对性提出了应对人工智能行业人才问题的措施建议。人才政策的调整和优化对人工智能行业的可持续发展至关重要,本文旨在为政策制定者、企业管理者和高校等提供数据支持和实践参考,以促进人工智能行业人才生态的健康发展。

关键词：人工智能行业发展人才分布人才指数

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人工智能开启新纪元

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Contemporary International Relations 2024年第2期34卷 85-90页

作者：现代院“人工智能与国家安全”识课题组 Li Yan 不详 Security Research Center China Institutes of Contemporary International Relations

2023 will be the inaugural year of a new artificial intelligence(AI) development round. The rapid advancement and proliferation of AI technologies and applications send shock waves worldwide. However, the risks hidden behind AI's immense energy have sparked heated debate and controversy. Powered by AI technologies and applications, the intelligent era seems to have begun.

关键词：人工智能 artificial heated

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人工智能辅助胃部组织病理学诊断的数据采集和标注专家共识

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中华病理学杂志 2024年第9期53卷 893-897页

作者：《人工智能辅助胃部组织病理学诊断的数据采集和标注专家共识》编写组肖雨袁静周炜洵宋志刚不详中国医学科学院北京协和医学院北京协和医院病理科北京100730 解放军总医院第一医学中心北京100853

当前聚焦于胃部组织病理数字图像的人工智能医疗器械的研发已成为行业热点。基于深度学习的人工智能算法所依赖的数据库质量对该类产品的安全和有效性有着重要影响, 但目前尚未形成数字病理图像的采集以及数据标注的技术规范。本文从胃... 详细信息

当前聚焦于胃部组织病理数字图像的人工智能医疗器械的研发已成为行业热点。基于深度学习的人工智能算法所依赖的数据库质量对该类产品的安全和有效性有着重要影响, 但目前尚未形成数字病理图像的采集以及数据标注的技术规范。本文从胃部黏膜活检与手术标本组织病理数字图像数据采集及其质量控制、标注规则、标注流程等各个方面介绍专家组达成的共识, 目的在于为此类产品的数据集制造责任方提供思路, 并有效促进胃部组织病理辅助诊断类产品的发展。

关键词：人工智能数据采集组织病理学诊断专家共识

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中小学人工智能课程指南

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华东师范大学学报（教育科学版） 2023年第3期41卷 121-134页

作者：中小学人工智能课程指南课题组江波不详华东师范大学上海智能教育研究院上海200062

我国的中小学人工智能教育起步不久,由于缺乏统一的课程标准,在课程的性质与目标、教材开发和学业评价等方面仍然面临诸多理论与实践困难。华东师范大学联合上海人工智能实验室编写《中小学人工智能课程指南》,从课程性质与基本理念、... 详细信息

我国的中小学人工智能教育起步不久,由于缺乏统一的课程标准,在课程的性质与目标、教材开发和学业评价等方面仍然面临诸多理论与实践困难。华东师范大学联合上海人工智能实验室编写《中小学人工智能课程指南》,从课程性质与基本理念、核心素养与课程目标、课程结构、课程内容与要求、学业质量评价标准、实施建议等六个方面,构建一套科学开放的中小学人工智能课程指南,为我国中小学人工智能教育体系建设提供参考。

关键词：人工智能课程指南中小学

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NEW VISUAL METHOD FOR FREE-FORM SURFACE RECONSTRUCTION

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Chinese Journal of Mechanical Engineering 2002年第1期15卷 35-39页

作者： Xiong Hanwei artificial intelligence Institute，Zhejiang University，Hangzhou 310027，China Zhang Xiangwei Guangdong University of Technology artificial intelligence Institute Zhejiang University Hangzhou 310027 China

A new method is put forward combining computer vision with computer aidedgeometric design (CAGD) to resolve the problem of free-form surface reconstruction. The surface isfirst subdivided into N-sided Gregory patches, and a stereo algorithm is used to reconstruct theboundary curves. Then, the cross boundary tangent vectors are computed through reflectance *** last, the whole surface can be reconstructed jointing these patches with G^1 continuity(tangentcontinuity). Examples on synthetic images are given.

关键词： Reverse engineering Free-form surface design Computer vision

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