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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1, Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract: Artificial intelligencebased software as a medical device (AI-Based SaMD) is an important product inthe health field enabled by artificial intelligence (AI).AIBased SaMD supervision needs to keep pace with the times and a more scientific supervision strategyIn addition, we explore the problems and challenges of AI-Based SaMD in China.Furthermore, we suggest that the AI-Based SaMD supervision and support systems should be improved in

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science

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Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 106-112 doi: 10.15302/J-SSCAE-2021.03.006

Abstract:

The rapid development of artificial intelligence (AI) industry is accompaniedAI supervision., and analyze the demand for AI ethical supervision in China from multiple dimensions.Furthermore, we suggest that the supervision scope of AI should be extended in a staged manner based, scientific and technological ethics supervision organizations of multiple levels should be improved

Keywords： artificial intelligence (AI) governance structure ethical supervision ethics committee

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology forPromoting AI core software and hardware technologies and industry is strategically significant for theIn this study, we summarize the development status of AI core hardware and software in China and abroadcore hardware, AI core software, and AI-related basic technology.for science and technology innovation to acquire increased scientific research investment; AI open

Keywords： artificial intelligence (AI) core software and hardware AI chip basic intelligent algorithm new enabling

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Research & application of IFN in cypher science

Ye Qiusun

Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 51-57

Abstract: are extension of the FCN, which are also a new concept of numbers in a broad sense, but their complex,intelligence

Keywords： variable carrying numbers (VCN) cypher science (CS) fixed carrying numbers (FCN) artificial intelligence(AI) AI-Fuzzy VCN (IFN)

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Artificial intelligence in radiotherapy: a technological review

Ke Sheng

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 431-449 doi: 10.1007/s11684-020-0761-1

Abstract: modulation, and robotics, created challenges and opportunities for the next breakthrough, in which artificialintelligence (AI) will possibly play important roles.AI will replace certain repetitive and labor-intensive tasks and improve the accuracy and consistencyFurthermore, AI may provide new functionalities that facilitate satisfactory RT.AI may effectively synthesize and analyze big data for such purposes.

Keywords： artificial intelligence radiation therapy medical imaging treatment planning quality assurance outcome

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AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 86-91 doi: 10.15302/J-SSCAE-2018.02.013

Abstract:

The integration, open accessing of healthcare data, and the use of artificialintelligence to organize and analyze fragmented medical information can improve medical and health servicesThis paper summarizes the current status of technologies and applications of artificial intelligenceclinical terminologies, which is key to realizing auxiliary diagnosis based on ‘big data’ artificialof artificial intelligence and medical devices.

Keywords： artificial intelligence assisted diagnosis and treatment knowledge graph medical ontology medical

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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6, Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract:

Deep learning has enhanced the versatility of artificial intelligence(AI) algorithms.In the last decade, the AI industry has been spawned and developing rapidly.technologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI) enterprise scenarios intelligent solutions application full-stack AI AI root technology

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Application of artificial intelligence in surgery

Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 417-430 doi: 10.1007/s11684-020-0770-0

Abstract: Artificial intelligence (AI) is gradually changing the practice of surgery with technological advancementsIn this article, we review the recent successful and influential applications of AI in surgery from preoperativeby summarizing the current state, emerging trends, and major challenges in the future development of AI

Keywords： artificial intelligence surgical autonomy medical robotics deep learning

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Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3, Pages 216-217 doi: 10.1016/j.eng.2019.12.011

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From Brain Science to Artificial Intelligence Review

Jingtao Fan, Lu Fang, Jiamin Wu, Yuchen Guo, Qionghai Dai

Engineering 2020, Volume 6, Issue 3, Pages 248-252 doi: 10.1016/j.eng.2019.11.012

Abstract: intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deepinsurmountable gap remains between AI and human intelligence.It is urgent to establish a bridge between brain science and AI research, including a link from brainscience to AI, and a connection from knowing the brain to simulating the brain.This article discusses the opportunities and challenges of adapting brain science to AI.

Keywords： Artificial intelligence Brain science

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Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract: The recent development of artificial intelligence (AI) has had a very important impact on content securityIn this article, we summarize the research status and development trends of AI-based content securityabroad based on the major strategic demand therefor, and presents the key technical issues regarding AI-basedInnovation and breakthroughs should be made in areas such as adversarial machine learning, explainable AI, hybrid enhanced intelligence, and knowledge-driven content security.

Keywords： artificial intelligence (AI)，content security，system construction

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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12, Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligence(AI).On one hand, AI technologies, such as deep learning, can be introduced into cyber security to constructsmart models for implementing malware classification and intrusion detection and threating intelligenceBased on the above two aspects, we review the intersection of AI and cyber security.

Keywords： Cyber security Artificial intelligence (AI) Attack detection Defensive techniques

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Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0.As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedSpecifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligenceIn this paper, we survey existing studies of crowd intelligence.

Keywords： Crowd intelligence Artificial intelligence 2.0 Crowdsourcing Human computation

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After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Engineering 2023, Volume 28, Issue 9, Pages 1-3 doi: 10.1016/j.eng.2023.07.002

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FinBrain: when finance meets AI 2.0 Review Articles

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 914-924 doi: 10.1631/FITEE.1700822

Abstract:

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformationAs one of the new intelligent needs in the AI 2.0 era, financial intelligence has elicited much attentionIn our current dynamic capital market, financial intelligence demonstrates a fast and accurate machineIn this paper, we survey existing studies on financial intelligence.We believe that these research directions can lay the foundation for the development of AI 2.0 in the

Keywords： Artificial intelligence Financial intelligence