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ARTIFICIAL INTELLIGENCE IN MEDICINE
基本信息
期刊名称 ARTIFICIAL INTELLIGENCE IN MEDICINE
ARTIF INTELL MED
期刊ISSN 0933-3657
期刊官方网站 http://www.journals.elsevier.com/artificial-intelligence-in-medicine/
是否OA
出版商 Elsevier
出版周期 Monthly
始发年份 1989
年文章数 72
最新影响因子 4.383(2019)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
医学3区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能3区
ENGINEERING, BIOMEDICAL 工程:生物医学3区
MEDICAL INFORMATICS 医学:信息3区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 4.35 1.025 1.758
Medicine
Medicine (miscellaneous)
24 / 206 88%
Computer Science
Artificial Intelligence
29 / 189 84%
补充信息
自引率 5.70%
H-index 74
SCI收录状况 Science Citation Index
Science Citation Index Expanded
官方审稿时间
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0933-3657%5BISSN%5D
投稿指南
期刊投稿网址 https://www.evise.com/evise/faces/pages/login/login.jspx?resourceUrl=%2
收稿范围

Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicinemedically-oriented human biology, and health care


Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider. 


Artificial Intelligence in Medicine considers for publication manuscripts that have both: 

• Potential high impact in some medical or healthcare domain; 
• Strong novelty of method and theory related to AI and computer science techniques. 


Artificial Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended. 


Artificial Intelligence in Medicine is looking for novelty in the methodological and/or theoretical content of submitted papers. Such kind of novelty has to be mainly acknowledged in the area of AI and Computer Science. Methodological papers deal with the proposal of some strategy and related methods to solve some scientific issues in specific domains. They must show, usually through an experimental evaluation, how the proposed methodology can be applied to medicine, medically-oriented human biology, and health care, respectively. They have also to provide a comparison with other proposals, and explicitly discuss elements of novelty. Theoretical papers focus on more fundamental, general and formal topics of AI and must show the novel expected effects of the proposed solution in some medical or healthcare field. 


Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective. Particular attention is given to novel research work pertaining to: 


  • AI-based clinical decision making;
  • Medical knowledge engineering;
  • Knowledge-based and agent-based systems;
  • Computational intelligence in bio- and clinical medicine;
  • Intelligent and process-aware information systems in healthcare and medicine;
  • Natural language processing in medicine;
  • Data analytics and mining for biomedical decision support;
  • New computational platforms and models for biomedicine;
  • Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;
  • Intelligent devices and instruments;
  • Automated reasoning and meta-reasoning in medicine;
  • Machine learning in medicine, medically-oriented human biology, and healthcare;
  • AI and data science in medicine, medically-oriented human biology, and healthcare;
  • AI-based modeling and management of healthcare pathways and clinical guidelines;
  • Models and systems for AI-based population health;
  • AI in medical and healthcare education;
  • Methodological, philosophical, ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine.



If you are considering submitting to Artificial Intelligence in Medicine, make sure that your paper meets the quality requirements mentioned above. English exposition must also be clear and revised with due care. Authors are kindly requested to revise their manuscripts with the help of co-authors that are fluent in English or language editing services before submitting their contribution. Papers written in poor English are likely to be rejected. 


The mere application of well-known or already published algorithms and techniques to medical data is not regarded as original research work of interest for Artificial Intelligence in Medicine, but it may be suitable for other venues. 

Artificial Intelligence in Medicine features the following kinds of papers: 


  • Original research contributions: Theoretical and/or methodological papers about novel approaches;
  • Methodological reviews/surveys: Papers that collect, classify, describe, and critically analyze research designs, methods and procedures;
  • Position papers: Papers that gather, describe, and analyze the scientific challenges of a specific field, founding them on the related literature;
  • Editorials: Editors will occasionally publish editorials;
  • Guest editorials: Editors can invite guest editors of special issues to publish editorials. Unsolicited editorials will not be considered;
  • Letters to the editor: Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the journal Artificial Intelligence in Medicine;
  • Book reviews: A critical review of recently published books;
  • Erratum: Some specific corrections to results previously published in the journal Artificial Intelligence in Medicine;
  • Historical perspectives: Papers that describe and critically review some specific aspects in the history of scientific contributions and applications;
  • In memoriam: Papers describing the life and the main scientific contributions of scientists passed away, having had an important role in the area of artificial intelligence in medicine;
  • PhD projects: Early publications about more recent research trends, having the goal of allowing PhD candidates to explain their PhD research project and to share it with other scientists interested in the topic. Such type of papers should focus on the overall goals and approaches of PhD research projects, without considering in detail the specific scientific results obtained, which would be the focus of other research articles.



Special Issues are regularly published and included among regular issues. Artificial Intelligence in Medicine is looking for special issues about current theoretical/methodological research or convincing applications related to AI in medicine. Special Issues compiled by one or more guest editors who are outstanding experts on the selected topic. 


Artificial Intelligence in Medicine does not publish conference volumes or conference papers. However, selected and high-quality research results presented earlier at conferences may be published in Artificial Intelligence in Medicine, in the form of a thoroughly revised (rephrased) and extended (including new research results) original research paper. 


Information for authors and further details about the editorial process can be found in the Guide for Authors section of the Artificial Intelligence in Medicine web page.


收录体裁
Paper
投稿指南
投稿模板
参考文献格式
编辑信息
Editor-in-Chief

Carlo Combi

University of Verona Department of Computer Science, strada Le Grazie 15, 37134, Verona, Italy 
Associate Editors

Zhengxing Huang

Zhejiang University College of Biomedical Engineering and Instrument Science, 866 Yuhangtang Road, 310027, Hangzhou, China

Zhiyong Lu

National Library of Medicine, Bethesda, Maryland, 20894-0001, United States Dr. Lu serves in his personal capacity and does not represent the opinions or policies of his employer.

Gregor Stiglic

University of Maribor Faculty of Health Sciences, Žitna ulica 15, 2000, Maribor, Slovenia
Advisory Board

Ameen Abu-Hanna

Academic Medical Center, Amsterdam, Netherlands

Enrico Gugliemo Coiera

Macquarie University Australian Institute of Health Innovation, Level 6, 75 Talavera Road, North Ryde, 2113, New South Wales, Australia

Alan Rector

The University of Manchester, Kilburn Building-2.88A - Oxford Road, M13 9PL, Manchester, United Kingdom

James Reggia

University of Maryland at College Park Department of Computer Science, A.V. Williams Building, 8223 Paint Branch Drive, College Park, Maryland, 20742, United States

Eytan Ruppin

University of Maryland at College Park Center for Bioinformatics and Computational Biology, College Park, Maryland, 20742-0001, United States

Shusaku Tsumoto

Shimane University Faculty of Medicine Graduate School of Medicine Department of Medical Informatics, 89-1 Enya-cho, 693-8501, Izumo, Japan
Editorial Office

Francesca Zerbato

University of Verona Department of Computer Science, strada Le Grazie 15, 37134, Verona, Italy 
Founding Editor

K. Sadegh-Zadeh

University of Münster Institute of Ethics History and Theory of Medicine, Münster, Germany
Emeritus Editor

Klaus-Peter Adlassnig

Medical University of Vienna Centre for Medical Statistics Informatics and Intelligent Systems, Spitalgasse 23 Vienna, 1090, Wien, Austria
Editorial Board

Anna Fabijańska

Lodz University of Technology Institute of Applied Computer Science, 18/22 Stefanowskiego Str., 90-537, Łódź, Poland Computer vision, Image processing and analysis, Machine learning, Neural networks and Deep learning

Germain Forestier

IRIMAS - University of Haute-Alsace, 12 rue des freres Lumiere, 68093, Mulhouse, France Data science, Artificial intelligence, Machine learning, Data mining, Time series classification, Big data, Deep learning

Peter Haddawy

Mahidol University Faculty of Information and Communication Technology, ICT Building, 999 Phuttamonthon 4 Road, Salaya, 73170, Nakhon Pathom, Thailand

Udo Hahn

Friedrich Schiller University Jena, 07743, Jena, Germany

Frank van Harmelen

Free University of Amsterdam Computational Intelligence Group, de Boelelaan 1081a, 1081HV, Amsterdam, Netherlands

Milos Hauskrecht

University of Pittsburgh Department of Computer Science, 5329 Sennott Square, Pittsburgh, Pennsylvania, 15260, United States

John Holmes

University of Pennsylvania Department of Biostatistics and Epidemiology, 423 Guardian Drive, Philadelphia, Pennsylvania, 19104-6021, United States

Andreas Holzinger

Medical University of Graz, Institute for Medical Informatics/Statistics, Graz, AustriaExplainable AI

Elpida Keravnou-Papailiou

University of Cyprus Department of Computer Science, 75 Kallipoleos St, P.O Box 20537, CY 1678, Lefkosia, Cyprus

Jiao Li

Chinese Academy of Medical Sciences & Peking Union Medical College Medical Library, 3rd Yabao Road, Chaoyang District, 100020, Beijing, China Medical Informatics, Data Mining, Knowledge Engineering, Natural Language Processing

Peter Lucas

Leiden University, 2300 RA, Leiden, Netherlands Biomedical artificial intelligence; Bayesian networks; Model-based reasoning; Statistical machine learning

Mar Marcos

Jaume I University Department of Computer Engineering and Science, Campus de Riu Sec, 12071, Castellón de la Plana, Spain

Arnau Oliver

University of Girona, Institute of Computer Vision and Robotics, Department Computer Architecture and Technology, Polytechnical School, P-IV building (Office 015)Campus Montilivi, Edifici P-IV, Av, Lluís Santaló, s/n,, 17003, Girona, Spain Medical Image Computing, Medical Image Analysis, Computer-Aided Diagnosis

Jyotishman Pathak

Cornell University Division of Health Informatics, 425 E. 61st., Suite 301, New York, New York, 10065, United States

Niels Peek

University of Manchester Health e-Research Centre, Oxford Rd, M13 9PL, Manchester, United Kingdom

Giuseppe Pozzi

Polytechnic of Milan Department of Electronics Information and Bioengineering, Piazza Leonardo Da Vinci, 32, 20133, Milano, Italy

Balakrishnan Prabhakaran

University of Texas at Dallas Erik Jonsson School of Engineering and Computer Science, 800 W. Campbell Road, Richardson, Texas, Texas 75080, United States

Lucia Sacchi

University of Pavia, Department of Electrical, Computer and Biomedical Engineering, Pavia, Italy Medical Informatics; Machine Learning; Data Mining; Clinical Decision Support Systems

Yuval Shahar

Ben-Gurion University of the Negev Medical Informatics Research Center, Israel, 84105, Beer-Sheva, Israel

Constantine Spyropoulos

Institute of Informatics & Telecommunications, N.C.S.R. Demokritos 15310, Aghia Paraskevi, Greece

Annette ten Teije

VU Amsterdam, Faculty of Science, Computer Sciences, Amsterdam, NetherlandsArtificial Intelligence; Knowledge Representation and Reasoning; Medical Knowledge Representation 

Mauro Vallati

University of Huddersfield School of Computing and Engineering, Queensgate, HD1 3DH, Huddersfield, United Kingdom Artificial Intelligence: Planning and Argumentation, Innovative applications of AI in Medicine

Shyam Visweswaran

University of Pittsburgh, Pittsburgh, Pennsylvania, 15261, United States

Fei Wang

Cornell University Division of Health Informatics, 425 E. 61st., Suite 301, New York, New York, 10065, United States

Chris Yang

Drexel University, 3141 Chestnut Street, Philadelphia, Philadelphia, 19104-2816, Pennsylvania, USA

Marinka Zitnik

Stanford University Department of Computer Science, 353 Serra Mall, Stanford, California, CA 94305, United States Representation learning for biomedicine, Network embedding methods, Next-generation algorithms for networks, Contextually adaptive AI

Blaz Zupan

Bioinformatics Laboratory,Fac. of Computer and Information Science,University of Ljubljana, Večna pot 113, 1000, Ljubljana, Slovenia

Pierre Zweigenbaum

Computing Laboratory for Mechanics and Engineering Sciences, Campus universitaire bât 508, Rue John Von Neumann, 91400, Orsay, France Natural Language Processing
PhD students and postdocs - Editorial Board

Ye Ye

University of Pittsburgh Department of Biomedical Informatics, 5607 Baum Boulevard, Pittsburgh, Pennsylvania, 15213-3305, United States


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