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</html>";s:4:"text";s:16774:"The Standard Abbreviation (ISO4) of Artificial Intelligence in Medicine is “Artif Intell Med”.ISO 4 (Information and documentation – Rules for the abbreviation of title words and titles of publications) is an international standard, defining a uniform system for the abbreviation of serial publication titles. The articles published in Journal of Medical Artificial Intelligence need to discuss the incorporation of artificial intelligence in the medical field. While, before the mobile era, medical technologies were mainly known as classic medical devices (e.g., prosthetics, stents, implants), … Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model. AI has started making its way into life sciences due to the digitized and often massive datasets that need analysis. Artificial Intelligence in Medicine is listed at Guide2Research, Web of Science and Scopus. Artificial Intelligence in Medicine does not publish conference volumes or conference papers. If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website. Artificial Intelligence in Medicine. Markus Schmitt. 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. Adaptability to change in diagnostics, therapeutics, and practices of maintaining patients’ safety and privacy will be key. Diagnose diseases. Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended. Artificial intelligence-assisted care in medicine: a revolution or ... challenges, and the future of implementing artificial intelligence (AI) for clinical care, European Heart Journal, Volume 40, Issue 40 ... one can hardly overlook the work and exclamations regarding AI in medicine. 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. Volumes. Artificial Intelligence in Medicine would like to thank all those who contributed with submitting high-quality reviews which helped improving the quality of the scientific research published by the journal.. https://doi.org/10.1016/j.artmed.2021.102021, https://doi.org/10.1016/j.artmed.2021.102009, Pardha Saradhi Mittapalli, Thanikaiselvan V, https://doi.org/10.1016/j.artmed.2021.102017, https://doi.org/10.1016/j.artmed.2020.102003, Maria Joao Cardoso, ... Brigitte Séroussi, https://doi.org/10.1016/j.artmed.2020.102000, Modeling Multivariate Clinical Event Time-series with Recurrent Temporal Mechanisms, Medical Analytics for Healthcare Intelligence - Recent Advances and Future Directions, Multiscale CNN with compound fusions for false positive Reduction in lung nodule detection, Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis, Artificial Intelligence (AI) in Breast Cancer Care -, Special issue: Artificial Intelligence in Breast Cancer Care, Trusted virtual Environments for Neuro-Informatics, Medical Analytics for Healthcare Intelligence, International Journal of Medical Informatics, Computer Methods and Programs in Biomedicine. The impact factor (IF) 2018 of Artificial Intelligence in Medicine is 4.47, which is computed in 2019 as per it's definition.Artificial Intelligence in Medicine IF is increased by a factor of 0.78 and approximate percentage change is 21.14% when compared to preceding year 2017, which shows a rising trend. As laboratory medicine continues to undergo digitalization and automation, clinical laboratorians will likely be confronted with the challenges associated with artificial intelligence (AI). In particular, AIIM would like to recognise the following referees, who distinguished themselves for their engagement with the journal in 2018. Understanding what AI is good for, how to evaluate it, what are its limitations, and how it can be implemented are not well understood. The journal currently features 8 specialty sections: 1) Medicine and Public Health 2) Machine Learning and Artificial Intelligence 3) Artificial Intelligence in Finance 4) Fuzzy Systems Copyright © 2021 Elsevier B.V. or its licensors or contributors. Special Issues are managed by one or more guest editors who are outstanding experts on the selected topic. • Potential high impact in some medical or healthcare domain; The Best Artificial Intelligence Journals Ranking Guidelines: In determining this ranking of the Best Artificial Intelligence Journals, we looked at the h-index for these journals, taken for each journal as a whole.This was done by consulting with Scimago Journal and Country Rank.We selected Computer Science: Artificial Intelligence: United States: Journals: 2019. Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a “black box,” leading to exaggerated expectations on the one hand and unfounded fears on the other. Special Issue: Artificial Intelligence in Computer-Based Medical Systems Special Issue: Artificial Intelligence in Medicine AIME 2019 Receive an update when the latest issues in this journal … Artificial Intelligence in Medicine features the following kinds of papers: Special Issues are regularly published and included among regular issues. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended. 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. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Frontiers in Artificial Intelligence wants to be this nexus of AI Research and provide a unified home for innovative research in core and applied AI areas. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by … Bibliographic content of Artificial Intelligence in Medicine, Volume 96 What do you think of dblp? Copyright © 2021 Elsevier, except certain content provided by third parties, Cookies are used by this site. The journal welcomes submissions from the research community where emphasis will be placed on the originality and the practical importance of the reported findings. A branch of computer Science capable of analysing complex medical data ® is a branch of computer Science made! 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