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Large language models-powered clinical decision support:enhancing or replacing human expertise?
《Intelligent Medicine》2025年第1期1-4,共4页Jia Li Zichun Zhou Han Lyu Zhenchang Wang 
funded by the National Natural Science Foundation of China(Grant No.62171297);the Beijing Natural Science Foundation(Grant No.L242024);the Beijing Friendship Hospital,Capital Medical University(Grant No.YYZZ202334);the Open Projects of Sichuan Province Clinical Medical Research Center for Imaging Medicine(Grant No.YXYX2409);the Beijing Municipal Natural Science Foundation(Grant No.7254539).
This editorial presents an optimistic yet cautious perspective on the development,deployment,and regulation of large language models(LLMs)in the field of medicine.It is essential to strike a balance between embracing ...
关键词：Large language models Clinical decision support Artificial intelligence Healthcare 
Agony Influencers
《The World of Chinese》2025年第1期50-56,共7页Nora Zhou 
As more Chinese women turn to influencers like Li Dan for guidance,concerns about their expertise and commercial motivations are becoming hard to ignore.Since last July,Li Dan,a former comedian turned livestreamer,has...
关键词：Li Dan livestreamer desperate plea win back ex agony influencers Chinese women commercial motivations EXPERTISE li dan 
Acknowledgment of Reviewers in 2024
《The Crop Journal》2025年第1期I0002-I0004,共3页
We sincerely acknowledge all the experts who have dedicated their time and expertise during 2024 for reviewing manuscripts submitted to The Crop Journal.
关键词：submitted EXPERTISE sincerely 
Pooling Scientific and Technological Expertise in Oil and Gas to Build an Academic Platform forEnergy:2025 New Year's Message from Petroleum Exploration and Development
《Petroleum Exploration and Development》2025年第1期F0002-F0002,共1页Editorial Office of Petroleum Explorationand Development 
At the turn of the new spring,as we bid farewell to 2024 and welcome the Spring Festival of 2025,our entire editorial team of Petroleum Exploration and Development extends heartfelt gratitude and sincere New Year's gr...
关键词：EXPERT EXPLORATION SPRING 
KD-Crowd:a knowledge distillation framework for learning from crowds
《Frontiers of Computer Science》2025年第1期119-130,共12页Shaoyuan LI Yuxiang ZHENG Ye SHI Shengjun HUANG Songcan CHEN 
supported by the National Key R&D Program of China(2022ZD0114801);the National Natural Science Foundation of China(Grant No.61906089);the Jiangsu Province Basic Research Program(BK20190408).
Recently, crowdsourcing has established itself as an efficient labeling solution by distributing tasks to crowd workers. As the workers can make mistakes with diverse expertise, one core learning task is to estimate e...
关键词：crowdsourcing label noise worker expertise knowledge distillation robust learning 
Large language models:game-changers in the healthcare industry
《Science Bulletin》2025年第3期283-286,共4页Bin Dong Li Zhang Jiajia Yuan Yang Chen Quanzheng Li Lin Shen 
supported by the National Natural Science Foundation of China(U22A20327,12090022,11831002,81801778,and 82203881);Beijing Natural Science Foundation(7222021);Beijing Hospitals Authority Youth Programme(QML20231115);Clinical Medicine Plus X-Young Scholars Project of Peking University(PKU2023LCXQ041).
The healthcare industry faces core challenges,including increasingly complex operational processes and entities,the rapid development of medical knowledge,and the rising demand for interdisciplinary expertise.The comp...
关键词：INDUSTRY EXPERTISE evident 
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
《Communications in Transportation Research》2024年第1期301-319,共19页Zihao Sheng Zilin Huang Sikai Chen 
University of Wisconsin-Madison's Center for Connected and Automated Transportation(CCAT),a part of the larger CCAT consortium,a USDOT Region 5 University Transportation Center funded by the U.S.Department of Transportation,Award#69A3552348305;The contents of this paper reflect the views of the authors,who are responsible for the facts and the accuracy of the data presented herein,and do not necessarily reflect the official views or policies of the sponsoring organization.
Model-based reinforcement learning(RL)is anticipated to exhibit higher sample efficiency than model-free RL by utilizing a virtual environment model.However,obtaining sufficiently accurate representations of environme...
关键词：Model-based reinforcement learning Residual policy learning Mixed traffic flow Connected automated vehicles 
Acknowledgment of reviewers
《Deep Underground Science and Engineering》2024年第4期508-509,共2页
The Editors of Deep Underground Science and Engineering(DUSE)wish to extend our deepest thanks to the following peer reviewers in 2024.We are grateful to their contributions of time and expertise to improve the qualit...
关键词：reviewers LISTED EXPERTISE 
Building Expertise on FAIR Through Evolving Bring Your Own Data(BYOD) Workshops: Describing the Data, Software, and Management-focused Approaches and Their Evolution
《Data Intelligence》2024年第2期429-456,共28页César H.Bernabé Lieze Thielemans Rajaram Kaliyaperumal Claudio Carta Shuxin Zhang Celia W.G.van Gelder Nirupama Benis Luiz Olavo Bonino da Silva Santos Ronald Cornet Bruna dos Santos Vieira Nawel Lalout Ines Henriques Alberto Camara Ballesteros Kees Burger Martijn G.Kersloot Friederike Ehrhart Esther van Enckevort Chris T.Evelo Alasdair J.G.Gray Marc Hanauer Kristina Hettne Joep de Ligt Arnaldo Pereira Nuria Queralt-Rosinach Erik Schultes Domenica Taruscio Andra Waagmeester Mark D.Wilkinson Egon L.Willighagen Mascha Jansen Barend Mons Marco Roos Annika Jacobsen 
support from the RD-Connect project(funded from the European Community's Seventh Framework Program under grant agreement n°305444"RD-CONNECT");ELIXIR and ELIXIR-EXCELERATE(Grant number EU H2020#676559);the Istituto Superiore di Sanita(ISS),the Leiden University Medical Center(LUMC);the University Medical Center Groningen,and the Dutch Techcentre for Life Sciences(DTL)between 2014 and 2018.From 2019 to 2023,the RD-BYOD has been funded by the European Joint Programme Rare Diseases(EJP RD)and its partners(European Union Horizon 2020 Research and Innovation Programme under Grant Agreement n°825575),and we are grateful for their continued support.
Since 2014,"Bring Your Own Data"workshops(BYODs)have been organised to inform people about the process and benefits of making resources Findable,Accessible,Interoperable,and Reusable(FAIR,and the FAIRification process...
关键词：FAIR FAIRification FAIR expertise Bring Your Own Data Workshop BYOD 
Robotic-assisted cholecystectomy: stepping stone to expertise or vogue?
《Hepatobiliary Surgery and Nutrition》2024年第2期301-303,共3页Dimitrios Ntourakis Evangelia Triantafyllou Christiana Roidi Panagiotis Lainas 
We read with great interest the study by Kalata et al.published in JAMA Surgery comparing the safety of robotic-assisted cholecystectomy(RAC)vs.laparoscopic cholecystectomy(LC)(1).This nationwide cohort study from the...
关键词：Robotic surgical procedures LAPAROSCOPY intraoperative complications CHOLECYSTECTOMY bile ducts 
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