Journals in Medical informatics

Annals of 3D Printed Medicine

ISSN: 2666-9641

Annals of 3D Printed Medicine examines the fast moving 3D printing innovation in the inter-disciplinary medical and biomedical research area.Also widely known by other terms such as additive manufacturing (AM) or rapid prototyping (RP), 3D printing engineering offers in Health and Medical Sciences - as an efficient and customizable manufacturing option - a great opportunity to reduce costs, time, trauma and healing periods:for healthcare professionals and drug and medical device companies to develop tailor-made (and often urgent) new solutions, services and concrete applications,for patients making care affordable, accessible and personalized,with the support of policies and under the pressure of growing expectations and demands.By giving high priority review and early publication to international peer-reviewed research and applications original works, Annals of 3D Printed Medicine is the home to collect innovative use of 3D-printing related technologies in the following medical and clinical situations: preoperative planning, instrumentalization and implantology, state modelling, medical education, storage, patient education, medico-legal, bioprinting, therapeutics.Annals of 3D Printed Medicine publishes:(guest) EditorialsResearch papersReviewsShort surveysTechnical notesShort communicationsLetters to the EditorThe journal endorses the FAIR Guiding Principles to support improved Findability, Accessibility, Interoperability and Reuse - and follows the Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals, issued by the International Committee of Medical Journal Editors (ICMJE Recommendations), as well as the Code of conduct for editors issued by the Committee on Publication Ethics (COPE).Annals of 3D Printed Medicine is a Gold Open Access e-only journal and is available on ScienceDirect.

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Artificial Intelligence in Medicine

ISSN: 0933-3657
5 Year impact factor: 7.1
Impact factor: 6.1

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 special issues deal with current theoretical/methodological research or convincing applications related to AI in medicine. Special Issues are managed by one or more guest editors who are outstanding experts on the selected topic.Special Issues of Artificial Intelligence in Medicine are directly proposed to potential guest editors by the Editor in Chief, also according to suggestions from the editorial board members."External" proposals of Special Issues will no longer be considered.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.

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Artificial Intelligence in the Life Sciences

ISSN: 2667-3185

Providing a scientific forum for practical applications and theoretical advances of Artificial Intelligence (AI) in the life sciences and related disciplines including (but not restricted to):New AI methods for life science researchAdaptation of existing AI concepts for life science applicationsApplication of AI approaches in: Molecular and systems biologyPopulation and disease geneticsBio- and cheminformaticsMedicinal chemistry, chemical biology, and drug discoveryMedical researchPublications are required to contain substantial AI and life science components. Clinical studies reporting routine diagnostic efforts hall outside the scope of AILSCI.Background: Artificial Intelligence originates from computer science and covers a wide range of approaches intended to enhance the ability of machines to make data-driven decisions and accurate predictions of events. In many scientific fields, AI is being increasingly considered and integrated, especially in the context of Big Data. Given their complexity and highly interdisciplinary nature, the life sciences provide ample opportunities for AI to impact R&D efforts in a variety of ways.Key words: Artificial Intelligence; Life Sciences; Drug Discovery; Bio- and Cheminformatics, Machine Learning; Machine Intelligence; Deep Learning; Data Mining; Big Data.

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Computational Statistics & Data Analysis

ISSN: 0167-9473
5 Year impact factor: 1.7
Impact factor: 1.5

The Official Journal of the Network Computational and Methodological Statistics (CMStatistics) and the International Association of Statistical Computing (IASC)Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:I) Computational Statistics - Manuscripts dealing with:the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.II) Statistical Methodology for Data Analysis - Manuscripts dealing with: novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures. Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (social sciences, marketing, psychometrics, chemometrics, signal processing, medical statistics, environmentrics, statistical physics).IV) Statistical Data Science - The manuscripts concern with well-founded theoretical and applied data-driven research, with a significant computational or statistical methodological component for data analytics. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software. This journal section serves as a complementary component to the network Computational and Methodological Statistics (CMStatistics).

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Computer Methods and Programs in Biomedicine

ISSN: 0169-2607
5 Year impact factor: 5.5
Impact factor: 4.9

To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine.Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.Computer Methods and Programs in Biomedicine is the companion title to the open access journal Computer Methods and Programs in Biomedicine Update.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: https://service.elsevier.com

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Computer Methods and Programs in Biomedicine Update

ISSN: 2666-9900

Partner Journal of Computer Methods and Programs in BiomedicineThe Computer Methods and Programs in Biomedicine-Update is an international open access peer-reviewed journal covering a broad spectrum of topics within biomedical research and medical practice. The articles explore the revolutionary advances in the application of computer-based medical solutions or proposed methodology applied to the fields of clinical research, translational medicine, informatics, imaging, data-driven care, medical devices, consumer health, nursing and public health.The journal intends to disseminate open access papers of the highest quality and is committed to ensuring a thorough, fair, and rapid review. CMPB Update welcomes articles that promote digital technologies, describe innovative computing methodologies and software systems research that help advance biomedical science, and improve medical care just like its partner journal Computer Methods and Programs in Biomedicine.The types of articles considered for publication include Original Research, Systematic Reviews and or Meta-analysis, Methodology, Research Letters, Viewpoint, Correspondence (in response to a paper published within three months) and editorials. Proposals for special focus issues from leading research groups will also be considered.

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Computerized Medical Imaging and Graphics

ISSN: 0895-6111
5 Year impact factor: 6.1
Impact factor: 5.4

The International Journal on Imaging and Image-Computing in ALL Medical Specialties. The purpose of the journal Computerized Medical Imaging and Graphics is to act as a source for the exchange of research results concerning algorithmic advances, development, and application of digital imaging and/or affiliated biomedical data in disease detection, diagnosis, intervention, prevention and monitoring, precision medicine, and population health. Included in the journal will be articles on novel computerized imaging and/or visualization techniques, including artificial intelligence and machine learning, augmented reality for surgical planning and guidance, biomedical data integration and visualization, computer-aided diagnosis, computerized-robotic surgery, image-guided therapy, imaging scanning and reconstruction, mobile and tele-imaging, image-omics, and imaging integration and modeling with other information relevant to digital health such as video, audio, and genomic data. Medical imaging modalities include: magnetic resonance, computed tomography, ultrasound, nuclear medicine, X-ray, microwave, endoscopy, optical and multi-photon microscopy, video and sensory imaging, and the convergence of biomedical images with other non-imaging datasets to address disease and health problems.The journal is a vehicle for the rapid publication of original research papers and review articles in the multi-disciplinary field of computerized medical imaging and graphics. Papers published in the journal will be of interest to imaging specialists, computer scientists, electrical, mechanical, and biomedical engineers, medical physicists, clinical informaticians, radiologists, pathologists, surgeons, and other physicians and internists interested in novel imaging technologies and applications in medicine.

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Computers in Biology and Medicine

ISSN: 0010-4825
5 Year impact factor: 6.7
Impact factor: 7

Computers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and medicine.The Journal will focus on such areas as:Analysis of Biomedical Systems: Solutions of EquationsSynthesis of Biomedical Systems: SimulationsSpecial Medical Data Processing MethodsSpecial Purpose ComputersClinical Data Processing for Real TimeClinical and Experimental UseMedical Diagnosis and Medical Record ProcessingBiomedical EngineeringMedical InformaticsBioinformaticsMedical Applications of the Internet and World Wide WebHuman GenomicsProteomicsFunctional Brain StudiesArticles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of pictures of biological and medical importance, use of computers by commercial pharmaceutical and chemical organizations, radiation-dosage computers, and accumulating and recalling individual medical records, real-time languages, interfaces to patient monitors, clinical chemistry equipment, data handling and display in nuclear medicine and therapy.CBM does not consider submissions:-describing research using fundamental in silico tools, like basic molecular docking not supported by detailed molecular dynamic simulations, post modelling/dynamics analysis, estimation and mathematical modelling and advanced algorithmic treatment with the data sets, or by detailed experimental validations.-with unclear dataset division into training/validation/test sets and/or imprecise downstream task analysis, specifically for image segmentation papers.-with minor architecture/model modifications and only slight increase in performance validation parameters (accuracy, Dice, etc) and/or lack of comparison with real state-of-the-art methods.

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Gait & Posture

ISSN: 0966-6362
5 Year impact factor: 2.7
Impact factor: 2.2

Official Journal of: Gait and Clinical Movement Analysis Society (GCMAS), European Society of Movement Analysis in Adults and Children (ESMAC), Società Italiana di Analisi del Movimento in Clinica (SIAMOC), and the International Society for Posture and Gait Research (ISPGR) Gait & Posture publishes new and innovative basic and clinical research on all aspects of human movement, locomotion and balance.The topics covered include: Techniques for the measurement of gait and posture, and the standardization of results presentation; Studies of normal and pathological gait; Treatment of gait and postural abnormalities; Biomechanical and theoretical approaches to gait and posture; Mathematical models of joint and muscle mechanics; Neurological and musculoskeletal function in gait and posture; The evolution of upright posture and bipedal locomotion; Adaptations of carrying loads, walking on uneven surfaces, climbing stairs etc, running and performing other movements. Spinal biomechanics only if they are directly related to gait and/or dynamic posture and are of general interest to our readers; The effect of aging and development on gait and posture; Psychological and cultural aspects of gait; Patient education. Papers related to efficacy and mechanisms of gait analysis in decision making. The journal is primarily focused on dynamic aspects of human movement and postural control.Index bound in last issue of year.For details of the GCMAS, ESMAC, SIAMOC, ISPGR please visit their web sites through these links.

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Innovative Practice in Breast Health

ISSN: 2950-2128

The aim of Innovative Practice in Breast-Health is to provide a platform for the sharing of new knowledge and research related to evaluation of applications of new technologies in the field of breast diseases. The journal seeks to promote the development and understanding of the latest advances in artificial intelligence, data science and data omics, telemedicine, image-assisted surgery, connected objects and telemedicine, prediction, personalized medicine and simulation in the field of breast cancer and other breast pathologies.This journal will publish high quality peer-reviewed original research, review articles, editorials, case reports (proof of concept of innovative applications of artificial intelligence-related technologies), and perspectives that encompass the evaluation and application of innovative technologies in the treatment, prevention, diagnosis and management of breast pathologies.Innovative Practice in Breast-Health welcomes research from all relevant disciplines, provided that it involves artificial intelligence-related technologies and breast diseases, including but not limited to surgery, imaging, medical oncology, radiation oncology, pathology, genetics, epidemiology, public health, nursing and allied health sciences, psychology, sociology, education, economic and health policy and management.The scope of the journal includes but is not limited to:Clinical trials and translational research regarding artificial intelligence-related technologies and breast pathologiesArtificial intelligence and its application to data science, data omics, telemedicine and breast pathologiesAlgorithms for analyzing large-scale data sets for breast cancer diagnosis, prognosis and treatment; and also patient experience and patient-related outcomesMachine learning and deep learning approaches for breast imaging and surgeryTelemedicine and telehealth applications for the management and screening of breast cancer and breast diseasesBig data and data omics applications in breast cancer research, diagnosis and treatment

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Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Medical informatics

Annals of 3D Printed Medicine

Artificial Intelligence in Medicine

Artificial Intelligence in the Life Sciences

Computational Statistics & Data Analysis

Computer Methods and Programs in Biomedicine

Computer Methods and Programs in Biomedicine Update

Computerized Medical Imaging and Graphics

Computers in Biology and Medicine

Gait & Posture

Innovative Practice in Breast Health