Journals in Medical informatics

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.

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).

Computational Statistics & Data Analysis

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

Computer Methods and Programs in Biomedicine

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 StudiesThe publication policy is to publish:New, original articles that have been appropriately reviewed by competent scientific people,Surveys of developments in the fields,Pedagogical papers covering specific areas of interest, andBook reviews pertinent to the field.Articles 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.

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.

In Silico Research in Biomedicine

ISSN: 3050-7871

International Journal of Medical Informatics

ISSN: 1386-5056
5 Year impact factor: 4.6
Impact factor: 3.7

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.Educational 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.sciencedirect.com/science/article/pii/S1386505621001362?via%3Dihub) and the scope of AI for the IJMEDI journal (https://www.sciencedirect.com/science/article/pii/S1386505623001685). 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.

Journal of Clinical Epidemiology

ISSN: 0895-4356
5 Year impact factor: 7.5
Impact factor: 7.3

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-sciencePatient-oriented 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-research studies that demonstrate weaknesses or limitations in the evidence ecosystem but lack reflection on how these might be addressedEffectiveness 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-based 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

Medical Engineering & Physics

ISSN: 1350-4533
5 Year impact factor: 2.1
Impact factor: 1.7

Official Publication of the Institute of Physics and Engineering in Medicine (IPEM)Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care. Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.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 Center

Medical Image Analysis

ISSN: 1361-8415
5 Year impact factor: 11.9
Impact factor: 10.7

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 resonanceUltrasoundComputed 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.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 Center

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