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.
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.
https://www.uk.elsevierhealth.com/artificial-intelligence-in-medicine-09333657.html103010Artificial Intelligence in Medicinehttps://www.uk.elsevierhealth.com/media/catalog/product/0/9/09333657_26.jpg214214GBPInStock <IT>Artificial Intelligence in Medicine</IT> publishes original articles from a wide variety of interdisciplinary perspectives concerning
the theory and practice of <B>artificial intelligence</B> (AI) in <B>medicine</B>, <B>medically-oriented human biology</B>, and <B>health
care</B>.
<BR><P><B>Artificial intelligence in medicine </B>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.
<BR><P><IT>Artificial Intelligence in Medicine</IT>
considers for publication manuscripts that have both: <BR>
<BR>• <B>Potential high impact in some medical or healthcare domain;</B>
<BR>• <B>Strong novelty of method and theory related to AI and computer science techniques.</B>
<BR><P><IT>Artificial Intelligence
in Medicine</IT> 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. <B>The inclusion of a clinical assessment</B> of the usefulness and potential impact of the submitted
work <B>is strongly recommended.</B>
<BR><P><IT>Artificial Intelligence in Medicine</IT> 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.
<B>Methodological papers</B> 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. <B>Theoretical papers</B> 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.
<BR><P>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:
<BR><P>
<UL>
<LI>AI-based clinical decision making; </LI>
<LI>Medical
knowledge engineering; </LI>
<LI>Knowledge-based and agent-based systems; </LI>
<LI>Computational intelligence in bio- and clinical
medicine; </LI>
<LI>Intelligent and process-aware information systems in healthcare and medicine; </LI>
<LI>Natural language processing
in medicine;</LI>
<LI>Data analytics and mining for biomedical decision support; </LI>
<LI>New computational platforms and models
for biomedicine; </LI>
<LI>Intelligent exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive
clinical tasks; </LI>
<LI>Intelligent devices and instruments;</LI>
<LI>Automated reasoning and meta-reasoning in medicine; </LI>
<LI>Machine learning in medicine, medically-oriented human biology, and healthcare; </LI>
<LI>AI and data science in medicine, medically-oriented
human biology, and healthcare; </LI>
<LI>AI-based modeling and management of healthcare pathways and clinical guidelines; </LI>
<LI>Models
and systems for AI-based population health; </LI>
<LI>AI in medical and healthcare education; </LI>
<LI>Methodological, philosophical,
ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine. </LI>
</UL>
<P>If you are considering
submitting to <IT>Artificial Intelligence in Medicine</IT>, 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.
<BR><P>The mere application of well-known or already published algorithms and techniques to medical data
is <U>not regarded</U> as original research work of interest for <IT>Artificial Intelligence in Medicine</IT>, but it may be suitable
for other venues.
<P><IT>Artificial Intelligence in Medicine</IT> features the following kinds of papers:
<BR><P>
<UL>
<LI><B>Original
research contributions:</B> Theoretical and/or methodological papers about novel approaches; </LI>
<LI><B>Methodological reviews/surveys:
</B>Papers that collect, classify, describe, and critically analyze research designs, methods and procedures;</LI>
<LI><B>Position
papers: </B>Papers that gather, describe, and analyze the scientific challenges of a specific field, founding them on the related literature;
</LI>
<LI><B>Editorials:</B> Editors will occasionally publish editorials; </LI>
<LI><B>Guest editorials: </B> Editors can invite
guest editors of special issues to publish editorials. Unsolicited editorials will not be considered; </LI>
<LI><B>Letters to the editor:</B>
Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the
journal <IT>Artificial Intelligence in Medicine</IT>;</LI>
<LI><B>Book reviews: </B>A critical review of recently published books;
</LI>
<LI><B>Erratum: </B>Some specific corrections to results previously published in the journal <IT>Artificial Intelligence in Medicine</IT>;
</LI>
<LI><B>Historical perspectives: </B>Papers that describe and critically review some specific aspects in the history of scientific
contributions and applications; </LI>
<LI><B>In memoriam:</B> 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;</LI>
<LI><B>PhD projects: </B>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.</LI>
</UL>
<P><B>Special Issues </B>are regularly published and included among regular issues. <IT>Artificial Intelligence in Medicine</IT> 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.
<BR><P><IT>Artificial Intelligence in
Medicine </IT>does not publish conference volumes or conference papers. However, selected and high-quality research results presented
earlier at conferences may be published in <IT>Artificial Intelligence in Medicine</IT>, in the form of a thoroughly revised (rephrased)
and extended (including new research results) original research paper.
<BR><P>Information for authors and further details about the
editorial process can be found in the <IT>Guide for Authors</IT> section of the <IT>Artificial Intelligence in Medicine</IT> web page.
00103009Artificial Intelligence in Medicine214214https://www.uk.elsevierhealth.com/media/catalog/product/https://www.uk.elsevierhealth.com/media/catalog/product/placeholder/default/generic_item_image_123x160_1_1.pngInStockDomestic1 YearIndividual0933-3657JOURNALELSEVIERIN STOCK0933-3657Volumes 93-101journalsJournalsNoNoNoNoPlease SelectPlease SelectPlease Select