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Application of Artificial intelligence in diagnosis of pulmonary tuberculosis

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Chinese Medical Journal 2024年第5期137卷 559-561页

作者： Jingli Du Yue Su Juan Qiao Shang Gao Enjun Dong Ruilan Wang Yanhui Nie Jing Ji Zhendong Wang Jianqin Liang Wenping Gong Tuberculosis Control Team Senior Department of TuberculosisThe Eighth Medical Center of PLA General HospitalBeijing 100091China Department of Computer Science and Technology College of Management Science and EngineeringCapital University of Economics and BusinessBeijing 100071China The Second Ward of Tuberculosis Department Senior Department of TuberculosisThe Eighth Medical Center of PLA General HospitalBeijing 100091China Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment Senior Department of TuberculosisThe Eighth Medical Center of PLA General HospitalBeijing 100091China

Tuberculosis(TB)is an infectious disease caused by Mycobacterium tuberculosis.Although the diagnostic technology of pulmonary tuberculosis(PTB)has advanced,accurate and differential diagnoses of PTB are still challenging.In recent years,the rapid development of Artificial intelligence(AI)and its wide application in the medical field have provided new opportunities for diagnosing and treating TB and PTB.The machine learning model of AI has not only helped physicians improve diagnostic accuracy,but also enabled them to make early preventive diagnoses for individuals at increased risk of infection.Furthermore,AI can guide physicians to formulate targeted treatment strategies for PTB patients with different conditions.

关键词： tuberculosis diagnosis Artificial

Insights into Artificial intelligence in clinical oncology:opportunities and challenges

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Science China(Life Sciences) 2022年第3期65卷 643-647页

作者： Kai Chen Hanwei Li Zhanpeng Pan Zhuo Wu Erwei Song Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Breast Tumor Center Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Artificial Intelligence Lab Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Department of Radiology Sun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Fountain-Valley Institute for Life Sciences Guangzhou Institute of Biomedicine and HealthChinese Academy of SciencesGuangzhou 510530China Bioland Laboratory Guangzhou 510005China

Cancer continues to be a major public health issue worldwide.Given the complexity of the etiology and pathophysiology of cancer,challenges always exist at every step of cancer management,including early screening,diagnosis,treatment selection,and surveillance.Emerging novel technologies hold promise in addressing a wide range of healthcare problems.Artificial intelligence(AI),which is capable of learning of features from given datasets.

关键词： diagnosis Cancer Artificial

Physical Artificial intelligence(PAI):the next-generation Artificial intelligence

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信息与电子工程前沿:英文版 2023年第8期24卷 1231-1238页

作者： Yingbo LI Zhao LI Yucong DUAN Anamaria-Beatrice SPULBER School of Computer Science and Technology Hainan UniversityHaikou570228China Zhejiang Lab Hangzhou311121China

Artificial intelligence(AI)has been a driving force for innovation and social progress in various domains(Pan,2017).However,most of its industrial applications have focused on the signal processing domain,which relies... 详细信息

关键词： Artificial domains intelligence

Nanograded Artificial nacre with efficient energy dissipation

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The Innovation 2023年第6期4卷 76-82页

作者： Yu-Feng Meng Cheng-Xin Yu Li-Chuan Zhou Li-Mei Shang Bo Yang Qing-Yue Wang Xiang-Sen Meng Li-Bo Mao Shu-Hong Yu Department of Chemistr New Comerstone Science LaboratoryInstitute of Biomimetic Materials&ChemistryAnhui Engineering Laboratory of Biomimetic MaterialsDivision of Nanomaterials&ChemistryHefei National Research Center for Physical Sciences at the MicroscaleUniversity of Science and Technology of ChinaHefei 230026China Key Laboratory of Materials Physics Anhui Key Laboratory of Nanomaterials and NanotechnologyCAS Center for Excellence in NanoscienceInstitute of Solid State PhysicsChinese Academy of SciencesHefei 230031China Institute of Physical Science and Information Technology Anhui UniversityHefei 230601China School of Mechanical Engineering Hefei University of TechnologyHefei 230009China Institute of Innovative Materials Department of Materials Science and EngineeringDepatment of ChemistrySouthem University of Science and TechnologyShenzhen 518055China

The renowned mechanical performance of biological ceramics can beattributed to their hierarchical structures,wherein structural features atthe nanoscale play a crucial role.However,nanoscale features,such asnanogradients,have rarely been incorporated in biomimetic ceramicsbecause of the challenges in simultaneously controlling the materialstructure at multiple length scales.Here,we report the fabrication of Artificial nacre with graphene oxide nanogradients in its aragonite plateletsthrough a matrix-directed mineralization method.The gradients areformed via the spontaneous accumulation of graphene oxide nanosheetson the surface of the platelets during the mineralization process,whichthen induces a lateral residual stress field in the platelets.Nanoindentation tests and mercury intrusion porosimetry demonstrate that the material's energy dissipation is enhanced both intrinsically and extrinsicallythrough the compressive stress near the platelet surface.The energydissipation density reaches 0.159±0.007 nJ/μm^(3),and the toughnessamplification is superior to that of the most advanced cer amics.Numer-ical simulations also agree with the finding that the stress field not ablycontributes to the overall energy dissipation.This work demonstratesthat the energy dissipation of biomimetic ceramics can be furtherincreased by integrating design principles spanning multiple scales.This strategy can be readily extended to the combinations of other struc-tural models for the design and fabrication of structural ceramics withcustomized and optimized performance.

关键词： ceramics Artificial energy

Artificial enzymes:learning from nature and beyond

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Science China(Life Sciences) 2023年第2期66卷 421-422页

作者： Jinghong Li Department of Chemistry Key Laboratory of Bioorganic Phosphorus Chemistry&Chemical BiologyTsinghua UniversityBeijing 100084China

As Professor Ronald Breslow,a pioneer of Artificial Enzymes and Biomimetic Chemistry,wrote in Artificial Enzymes,Artificial enzymes are part of the world of Biomimetic Chemistry,which especially refers to accelerating reactions imitating/similar to natural catalytic processes,with a context not limited to the substances of biology(Breslow,2005).

关键词： catalytic beyond Artificial

Low color temperature Artificial lighting can slow myopia development: Long-term study using juvenile monkeys

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Zoological Research 2022年第2期43卷 229-233页

作者： Ying-Zhou Hu Hua Yang Hao Li Long-Bao Lv Jing Wu Zhu Zhu Yu-Hua Zhang Fang-Fang Yan Shu-Han Fan Shu-Xiao Wang Jian-Ping Zhao Qiang Qi Chang-Bing Huang Xin-Tian Hu Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China National Resource Center for Non-human Primates Kunming Primate Research Centerand National Research Facility for Phenotypic and Genetic Analysis of Model Animals(Primate Facility)Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650107China Key Laboratory of Behavioral Science Institute of PsychologyChinese Academy of SciencesBeijing 100101China Department of Psychology University of Chinese Academy of SciencesBeijing 100049China China Academy of Building Research Beijing 100013China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China Institute of Semiconductors Chinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Center for the 3rd Generation Semiconductor Materials and Application Beijing 100083China

The incidence of myopia has increased rapidly in recent decades, suggesting that environmental factors, such as light,may be an important cause. Correlated color temperature(CCT) is a commonly used index to quantify the spectral composition of light. Here, we used 32 juvenile monkeys(16 females and 16 males) and selected four kinds of light with typical but different CCTs to study the relationship between CCT and ocular axial elongation.

关键词： Artificial lighting myopia

Advancing spinal cord injury research with optical clearing,light sheet microscopy,and Artificial intelligence-based image analysis

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Neural Regeneration Research 2023年第12期18卷 2661-2662页

作者： Qiang Li Alfredo Sandoval Jr Bo Chen Department of Neurobiology University of Texas Medical BranchGalvestonTXUSA

From the days of Ramon y Cajal's first sketches,neuroscientists have recognized the importance of visualizing the complex architecture of the central nervous system.In the past century,we have come to appreciate how the rich structural and functional complementarity of axons and cell types in the spinal cord make it uniquely suited for information transfer between the periphery and the brain.

关键词： Artificial image sketch

Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using Artificial intelligence

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Chinese Medical Journal 2022年第6期135卷 631-633页

作者： Han Lv Mengyi Li Zhenchang Wang Dawei Yang Hui Xu Juan Li Yang Liu Di Cao Yawen Liu Xinru Wu He Jin Peng Zhang Liqin Zhao Rixing Bai Yunlong Yue Bin Li Nengwei Zhang Mingzhu Zou Jinghai Song Weibin Yu Pin Zhang Weijun Tang Qiyuan Yao Liheng Liu Hui Yang Zhenghan Yang Zhongtao Zhang National Clinical Research Center for Digestive Diseases in Beijing Friendship Hospital,Capital Medical University Beijing Quality Control and Improvement Center of Medical Imaging National Health Commission Capacity Building and Continuing Education Center,Chinese College of Metabolic and Bariatric Surgeons Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery Department of Radiology Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China Department of General Surgery Beijing Friendship HospitalCapital Medical University&National Clinical Research Center for Digestive DiseasesBeijing 100050China School of Biological Science and Medical Engineering Beihang UniversityBeijing 100191China Department of Radiology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of General Surgery Beijing Tiantan HospitalCapital Medical UniversityBeijing 100070China Department of MR Beijing Shijitan HospitalCapital Medical University/Peking UniversityNinth Clinical Medical CollegeBeijing 100038China Department of General Surgery Beijing Shijitan HospitalCapital Medical University/Peking UniversityNinth Clinical Medical CollegeBeijing 100038China Department of Radiology Beijing HospitalNational Center of GerontologyInstitute of Geriatric MedicineChinese Academy of Medical SciencesBeijing 100730China Department of General Surgery Beijing HospitalNational Center of GerontologyInstitute of Geriatric MedicineChinese Academy of Medical SciencesBeijing 100730China Department of Radiology Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of Bariatric and Metabolic Surgery Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai 200233China Department of Radiology Huashan HospitalFudan UniversityShanghai 200040China Center for Obesity and Metabolic Surgery Huashan HospitalFudan UniversityShanghai 200040China Department of Radiology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Radiology The Second Affiliated Hospital of Shandong First Medical UniversityTai'anShandong 271000China 不详

Introduction Upper abdominal magnetic resonance(MR)imaging is appropriate for body composition analysis.111 Especially for individuals with obesity,it is of great value to quantify the hepatic proton density fat fraction(PDFF)and the amount of abdominal adipose tissue during clinical evaluation and for research on obesity-related risks.Analytical results may be used to determine the optimal choice of surgical procedure and evaluate treatment outcomes.Multiple Artificial intelligence(Al)algorithms and systems have been developed for the automated measurement of body composition.The basis of Al development and application is to have uniform standards for clinical data acquisition and management.The uneven quality ofMR images is one ofthe major obstacles to Al system development and analytical results.A standardized process of MR scanning and clinical data management is urgently needed.

关键词： abdominal obesity Artificial

Guest editorial:Special Issue on Artificial Intelligence and Emerging Computational Approaches for Tribology

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Friction 2024年第6期12卷 1057-1059页

作者： Zhinan ZHANG Shuaihang PAN Bart RAEYMAEKERS State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Department of Mechanical Engineering University of UtahSalt Lake CityUT 84112USA Department of Mechanical Engineering Virginia TechBlacksburgVA 24061USA

Tribo-behavior is a complex system-based time-dependent process,and it is difficult to accurately model a tribo-system and predict its behavior.Hence,tribology research,in most cases,has relied on extensive experimentation.Driven by the Artificial intelligence(AI)-for-science revolution,AI and other emerging computational approaches provide opportunities to explore the complex processes in tribo-systems and the physical mechanisms of tribo-behavior in an efficient way,significantly pushing the boundaries of tribology research.

关键词： behavior. editorial Artificial