BMC MEDICAL IMAGING

Scope & Guideline

Empowering Researchers and Clinicians in Medical Imaging.

Introduction

Welcome to the BMC MEDICAL IMAGING information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of BMC MEDICAL IMAGING, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1471-2342
PublisherBMC
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 2001 to 2024
AbbreviationBMC MED IMAGING / BMC Med. Imag.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

BMC Medical Imaging focuses on the advancement of medical imaging techniques and their applications in clinical practice. The journal aims to publish high-quality research that contributes to the understanding and enhancement of imaging modalities, image processing techniques, and their integration with artificial intelligence and machine learning.
  1. Medical Image Analysis:
    The journal emphasizes research that involves the analysis of medical images through various techniques, including radiomics, deep learning, and machine learning, to improve diagnostic accuracy and patient outcomes.
  2. Multimodal Imaging Techniques:
    Research published in this journal often explores the integration of multiple imaging modalities, such as MRI, CT, and ultrasound, to provide comprehensive insights into disease diagnosis and treatment planning.
  3. Clinical Applications of Imaging:
    BMC Medical Imaging aims to address the clinical relevance of imaging techniques, showcasing studies that demonstrate the practical applications of medical imaging in diagnosing, monitoring, and treating various diseases.
  4. Innovative Imaging Technologies:
    The journal highlights advancements in imaging technologies, including developments in MRI, CT, ultrasound, and hybrid imaging systems, along with novel methodologies for image acquisition and processing.
  5. Artificial Intelligence in Imaging:
    A significant focus of the journal is the application of artificial intelligence and machine learning in medical imaging, particularly in automating image analysis, enhancing image quality, and improving diagnostic workflows.
Recent publications in BMC Medical Imaging indicate several emerging themes and trends that reflect the journal's dynamic evolution in response to technological advancements and clinical needs. This section outlines the key areas gaining traction.
  1. Radiomics and Biomarker Discovery:
    There is a growing emphasis on radiomics, which involves extracting large amounts of quantitative features from medical images to develop predictive models and biomarkers for various diseases.
  2. Artificial Intelligence and Machine Learning Applications:
    The integration of AI and machine learning techniques in imaging studies is on the rise, focusing on automating image analysis, enhancing diagnostic accuracy, and personalizing patient care.
  3. Deep Learning in Imaging Segmentation:
    Deep learning approaches for segmentation tasks, particularly in complex anatomical structures and lesions, are increasingly prevalent, reflecting advancements in neural network architectures.
  4. Telemedicine and Remote Imaging Solutions:
    The COVID-19 pandemic has accelerated the research and implementation of telemedicine solutions, leading to an increase in studies focusing on remote imaging and diagnostics.
  5. Patient-Centric Imaging Studies:
    Emerging trends include a shift towards patient-centered research that evaluates the impact of imaging on patient outcomes, satisfaction, and the overall healthcare experience.

Declining or Waning

As the field of medical imaging evolves, certain themes observed in previous years have experienced a decline in publication frequency. This section highlights these waning scopes, which may indicate shifts in research focus or saturation of topics.
  1. Traditional Imaging Techniques:
    There has been a notable decrease in studies focusing solely on traditional imaging techniques without integration of advanced methodologies, indicating a shift towards more innovative approaches.
  2. Basic Image Processing Techniques:
    Research centered around basic image processing methods has seen reduced prominence, as the field moves towards more complex and automated solutions driven by AI and machine learning.
  3. Non-Quantitative Imaging Studies:
    There is a decline in non-quantitative studies that do not utilize advanced analytical methods or metrics, reflecting a trend towards more data-driven and quantifiable research approaches.
  4. Single-Modality Imaging Research:
    Research focusing on single-modality imaging without exploring multimodal integration is becoming less frequent, as the advantages of comprehensive imaging strategies are increasingly recognized.

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