JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY

Scope & Guideline

Exploring the Frontiers of Computer-Assisted Tomography

Introduction

Welcome to your portal for understanding JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0363-8715
PublisherLIPPINCOTT WILLIAMS & WILKINS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1977 to 2024
AbbreviationJ COMPUT ASSIST TOMO / J. Comput. Assist. Tomogr.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103

Aims and Scopes

The Journal of Computer Assisted Tomography is dedicated to the advancement of imaging technologies and their applications in medical diagnostics. It emphasizes the integration of computer science with imaging techniques to enhance diagnostic accuracy and patient outcomes. The journal covers a wide range of topics, reflecting its commitment to innovative research in medical imaging.
  1. Advancement of Imaging Techniques:
    The journal focuses on the development and refinement of various imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), and hybrid imaging technologies, aiming to improve diagnostic capabilities.
  2. Application of Artificial Intelligence:
    A significant emphasis is placed on the use of artificial intelligence and machine learning in imaging analysis, including predictive modeling, automated detection, and enhancement of image quality.
  3. Radiomics and Quantitative Imaging:
    The journal promotes research in radiomics, which involves extracting large amounts of features from medical images using data-characterization algorithms, to aid in prognosis and treatment decision-making.
  4. Clinical Applications in Oncology and Other Specialties:
    A core area of interest is the application of imaging technologies in oncology, neurology, cardiology, and other medical fields, addressing both diagnostic and therapeutic implications.
  5. Interdisciplinary Collaboration:
    The journal encourages collaboration across disciplines, integrating insights from radiology, oncology, pathology, and computational sciences to foster comprehensive approaches to patient care.
The Journal of Computer Assisted Tomography is currently experiencing a surge in interest in several emerging themes, reflecting the evolving landscape of medical imaging and technology. These trends indicate a strong focus on innovation and integration of new methodologies.
  1. Artificial Intelligence and Machine Learning:
    There is a significant trend towards the use of AI and machine learning in imaging analysis, with a focus on enhancing diagnostic accuracy, automating processes, and improving image interpretation.
  2. Radiomics and Predictive Modeling:
    Emerging research in radiomics is gaining momentum, emphasizing the extraction and analysis of quantitative features from medical images to improve prognostic predictions and treatment planning.
  3. Hybrid Imaging Techniques:
    The incorporation of hybrid imaging modalities that combine different imaging technologies (e.g., PET/CT, SPECT/CT) is increasingly prevalent, highlighting the journal's focus on comprehensive diagnostic approaches.
  4. Patient-Centric Imaging Approaches:
    Research is increasingly focusing on patient-specific imaging protocols, including personalized imaging strategies that consider individual patient characteristics and conditions.
  5. Technological Innovations in Imaging:
    There is a notable interest in novel imaging technologies and methodologies, such as photon-counting CT and advanced imaging reconstruction techniques, reflecting the journal's commitment to cutting-edge research.

Declining or Waning

While the Journal of Computer Assisted Tomography continues to thrive in many areas, certain themes have shown signs of decline in recent years. These waning scopes suggest a shift in focus towards more contemporary and technologically advanced topics.
  1. Traditional Imaging Techniques:
    There is a noticeable decline in publications focused solely on traditional imaging techniques without the incorporation of advanced technologies or methodologies, indicating a shift towards more innovative approaches.
  2. Basic Imaging Protocols:
    Studies centered around basic imaging protocols and methodologies are becoming less frequent, as there is a growing preference for research that integrates advanced imaging techniques and artificial intelligence.
  3. Non-Diagnostic Imaging Studies:
    Papers that do not contribute directly to diagnostic improvements or clinical outcomes are less common, reflecting a trend towards research with practical implications and clinical relevance.

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