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Journals in Medical informatics

  • Computational Statistics & Data Analysis

    • ISSN: 0167-9473
    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/environmenta... 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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  • Neural Networks

    • ISSN: 0893-6080
    The journal Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning.Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep learning algorithms and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspire... artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. On the other hand, neural networks should be central to submissions. The journal publishes articles, letters, and reviews/tutorials, as well as letters to the editor, editorials, and current events. Articles are published in one of five sections: learning systems, cognitive science, neuroscience, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of three of the oldest and most prominent neural network societies: the International Neural Network Society (INNS), the Asia-Pacific Neural Network Society (APNNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.
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  • Medical Image Analysis

    • ISSN: 1361-8415
    An official journal of the MICCAI SocietyMedical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging. While not limited to these alone, the typical biomedical image datasets of interest include those acquired from:Magnetic resonanceUltrasoundC... tomographyNuclear medicineX-rayOptical and Confocal MicroscopyVideo and range data imagesThe types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of various models (geometrical, statistical, physical, functional, etc.) to solve the following types of problems, using biomedical image datasets: representation of pictorial data, visualization, feature extraction, segmentation, inter-study and inter-subject registration, longitudinal / temporal studies, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy (modelling normal anatomy and its variations), computational physiology (modelling organs and living systems for image analysis, simulation and training), virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, telesurgery and image-guided medical robots, etc.
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  • Journal of Clinical Epidemiology

    • ISSN: 0895-4356
    Metascience and innovative methods to improve population healthThe Journal of Clinical Epidemiology (JCE) aims to advance science that can improve health care decision-making and contribute to the evolving discipline of clinical epidemiology. The JCE publishes methods-focused articles across the spectrum of the research ecosystem, including primary research (qualitative, quantitative, and mixed); evidence syntheses; guidelines; and implementation science. The journal welcomes registered reports, protocols, and simulation studies that advance the journal’s aims. The JCE is committed to promoting equity, diversity, and inclusion across all its content, contributors, editorial board, and leadership. Priority is given to contributions from early and mid-career researchers and low- and middle-income countries.The journal publishes topics including:Meta-scien... researchDevelopment, evaluation, and implementation of reporting guidelines Research integrity and cultureOpen scienceEmerging methodologies Developing and evaluating outcome measuresEducation and learning programs for clinical epidemiologistThe JCE does not accept the following submissions except in exceptional circumstances: Bibliometric studies and those on infodemiology, social media trends, and health informaticsPapers written primarily for a statistical audience Artificial intelligence and machine learning studies without critical evaluation of the method and transparent reportingMeta-resear... studies that demonstrate weaknesses or limitations in the evidence ecosystem but lack reflection on how these might be addressedEffectivene... studies, including Mendelian randomization studies and target trial emulations; systematic reviews; prevalence and incidence studies; prognostic or diagnostic research where the main focus is not on the methodsStudies limited to one country, jurisdiction, or clinical area with limited generalizability, such as: translating an outcome measure into a different language; a study focused on one clinical specialty; a Delphi/consensus-bas... study where all the authors are from one country; or a survey of participants from one setting or with a limited response rateStudies with a single author where it was more appropriate for a multi-disciplinary team to conduct the researchStudies that do not include patient partners as members of the research team in circumstances where that would be considered essentialAnimal studies Pharmacovigilance and pharmacoepidemiology studies
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  • Smart Health

    • ISSN: 2352-6483
    This journal focuses on research topics pertaining to devices, sensing, computing and communication technologies, software/hardware modeling and system architectures towards Personalized, Pervasive, Participatory, Predictive, Preventive, Programmable and Perpetual (P7) Healthcare. This will be an interdisciplinary journal which would publish high-quality papers from researchers of various disciplines including medicine, computer science and engineering and bio and electrical engineering. Papers covering all aspects of P7 Healthcare including innovative technology, clinical studies of efficacy of existing technology, and analytical studies are in this journal.P7 Healthcare Models:E-healthcareM... TelemedicineCybermed... HealthcareP7 Platforms and Technologies:Home Health PlatformsCell-phone based monitoring systemsRemote/ Non-invasive BiomonitoringWireles... MedicineWearable health systemBody area networks (BANs)/Body Sensor Networks (BSNs)Nano medicineSmart medical DevicesP7 MethodsNon-invasive physiological monitoringReliable BiosensingHCI , Intuitive Interfaces for Children and the ElderlyPrivacy/Secur... Control ProtocolsWireless communicationP7 IT/Software-Hardware... Methods for ensuring safety, security of medical devicesInteroperable SecurityModel Based EngineeringMetrics, Performance Analysis methods and toolsPowering, Energy Management/Scavengin... SustainabilityModeli... techniques: cyber-physical, hybrid modelsSystem Software, Middelware, OS, NetworkingMedical device control system design, verification of control algorithmsP7 Patient Care Outcomes:Health Data PrivacyImproving Access and QualityCost-effectiv... Medical ErrorsP7 Applications:Assiste... LivingDisaster PreparednessEntertai... Games for Improving HealthDiabetes CareObesity ManagementDrug Use PreventionSports and Leisure
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  • International Journal of Medical Informatics

    • ISSN: 1386-5056
    Official journal of the European Federation for Medical Informatics (EFMI) and IMIA.International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The journal emphasizes the development, use, implementation, deployment, and evaluation of information and communication technologies (ICT) in healthcare settings, including consumer health, public health, clinical care, telehealth, education, clinical research, policies, and regulations considering security, privacy, and the ethical use of ICT resources at local, national, and global levels to improve population care delivery. The scope of journal covers:Information systems, including national or international registration systems, hospital information systems, departmental and/or clinician’s office systems, document handling systems, clinical information systems, electronic medical record systems, personal health records, public and population health informatics, consumer health systems, digital health, digital ecosystem, terminologies and standardization, systems integration and interoperability, among other topics on the scenario of delivering patient care through information and communication technology devices. Computer-assisted medical decision support systems that use heuristics, data structures, algorithms, and statistical methods exemplified in decision theory, protocol development, and artificial intelligence, including techniques for discovering new knowledge. Note that studies in AI will be considered if they are integrated into clinical systems or evaluate the impact caused on clinical implementations.Educ... information and communication technology-based programs pertaining to medical informatics in general, including organizational, educational framework, curriculum content, economics evaluation, social and clinical impact, ethical and cost-benefit aspects of ICT applications in health care.Patient safety, data privacy, security and confidentiality requirements, legal regulation, policies process, system assessment, maturity models evaluation and governance for ICT. The journal is in the healthcare domain. As an international journal, methodology plays a crucial role in allowing researchers from different countries to acquire knowledge and benefits from the steps followed to obtain results and evidence in using ICT in healthcare delivery. Results are often not transferable, but researchers can pursue and use methods in various scenarios.If the article is on artificial intelligence using machine learning, deep learning, natural language processing, predictive modelling and related topics, authors MUST add relevant information as an appendix to allow better evaluation, transparency, and reproducibility. Many studies currently use models, algorithms, and in silico evaluation. In this case, we recommend a practical clinical application or a test with a different dataset than the one used to design the algorithm or model – an evaluation performed with data from other facilities is recommended. In other words, the dataset must be different (origin and testing). In addition, it would be helpful for authors to highlight the study’s limitations, particularly in cases where the testing is not feasible. Predictive modeling (based on deep learning or machine learning techniques) applied to image analysis can significantly enhance diagnostic accuracy when integrated into hospital electronic health records. IJMEDI's scope allows the acceptance of primary research articles or reviews on image analysis that have been validated on external datasets (different from those used for development and training) and, possibly, integrated into clinical workflow or that have developed novel approaches using multimodality data. Articles that only focus on methodological approaches, analytical frameworks, or studies reporting algorithm performance in medical image analysis without a clear clinical contribution described above are considered out of scope for IJMEDI.Again, note that IJMEDI is not interested in the model description or the comparison of framework performance with no novelty on the method or deployment. The scope is to focus on the results of ICT in clinical practice. The IJMI is interested in robust evaluation and intervention studies in clinical practice applications. Faced with so many studies using models, algorithms, in silico evaluation, it is demanded a practical clinical application (different dataset for validation) with significant meaning for providers and patients. Studies on models and descriptions must be advanced and show how much the contribution is evident for international readers and researchers. Most studies only evaluated model performance, but no usability and impact evaluation. It is necessary to advance and demonstrate impact on clinical practices.Please also consult the IJMEDI editorials which details the checklist for machine learning checklist (https://www.science... and the scope of AI for the IJMEDI journal (https://www.science... Authors may also consider other journals addressing artificial intelligence in medicine and methods (Medical Informatics Journals | Elsevier).The scope does not cover bibliometric or scientometric studies or similar studies using those methods.
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  • Computers in Biology and Medicine

    • ISSN: 0010-4825
    Computers in Biology and Medicine, 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 InformaticsBioinform... Applications of the Internet and World Wide WebHuman GenomicsProteomicsFu... 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:-describ... 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/... 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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  • Artificial Intelligence in Medicine

    • ISSN: 0933-3657
    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.Artificia... 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.Artifici... 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;Knowledg... and agent-based systems;Computationa... 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;Intellig... exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;Intelligent devices and instruments;Automate... 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;Methodolog... 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;Methodolo... 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;Editorial... 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/methodol... 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.Artificia... 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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  • Computer Methods and Programs in Biomedicine

    • ISSN: 0169-2607
    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.
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