Physical and Engineering Sciences in Medicine

Scope & Guideline

Fostering Collaboration for Cutting-Edge Medical Solutions

Introduction

Immerse yourself in the scholarly insights of Physical and Engineering Sciences in Medicine with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2662-4729
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2020 to 2024
AbbreviationPHYS ENG SCI MED / Phys. Eng. Sci. Med.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

Aims and Scopes

The journal 'Physical and Engineering Sciences in Medicine' focuses on the interdisciplinary integration of physical and engineering sciences with medical applications, emphasizing innovative methodologies and technologies that enhance medical practice and patient care. It serves as a platform for disseminating cutting-edge research that bridges these domains.
  1. Medical Imaging Technologies:
    Exploration of advanced imaging modalities, including CT, MRI, PET, and ultrasound, focusing on image reconstruction, quality assurance, and the development of novel imaging techniques.
  2. Radiation Therapy and Dosimetry:
    Research on dosimetric evaluations, treatment planning systems, and innovative radiation therapy techniques, including the use of machine learning for optimizing treatment outcomes.
  3. Biomedical Engineering Applications:
    Development and validation of engineering solutions in medical contexts, such as prosthetics, assistive devices, and the application of materials science in medical devices.
  4. Artificial Intelligence in Medicine:
    Implementation of AI and machine learning techniques for diagnostic purposes, predictive modeling, and the automation of medical image analysis.
  5. Clinical Physics and Quality Assurance:
    Studies focusing on quality assurance protocols, safety standards, and clinical practices in the field of medical physics, including the evaluation of imaging and treatment technologies.
Recent publications in 'Physical and Engineering Sciences in Medicine' indicate a strong trend towards innovative and interdisciplinary research areas, particularly those integrating advanced technologies into medical practice.
  1. Deep Learning and Machine Learning Applications:
    There is a noticeable increase in research applying deep learning techniques to medical imaging and diagnostics, highlighting the importance of AI in enhancing diagnostic accuracy and efficiency.
  2. Personalized Medicine and Treatment Planning:
    Emerging themes focus on personalized approaches in radiation therapy and treatment planning, utilizing patient-specific data to optimize outcomes and minimize side effects.
  3. Integration of IoT and Wearable Technologies:
    Research is increasingly exploring the use of Internet of Things (IoT) devices and wearable technologies for continuous health monitoring and data collection, reflecting a shift towards proactive healthcare management.
  4. Hybrid Imaging Techniques:
    The combination of various imaging modalities to provide comprehensive diagnostic information is gaining traction, with studies focusing on the synergetic use of CT, MRI, and PET technologies.
  5. Quantitative Imaging Biomarkers:
    The rise in studies focusing on the extraction and application of quantitative imaging biomarkers for disease diagnosis and prognosis indicates a trend towards more precise and data-driven medical evaluations.

Declining or Waning

As the field evolves, certain themes within 'Physical and Engineering Sciences in Medicine' appear to be waning in prominence. This decline may reflect shifts in research priorities or advancements that have rendered certain topics less relevant.
  1. Traditional Imaging Techniques:
    The focus on conventional imaging methods without integration of AI or advanced computational techniques is decreasing as more researchers turn to innovative imaging solutions that leverage deep learning and sophisticated algorithms.
  2. Basic Dosimetry Studies:
    Research that solely revolves around traditional dosimetry without the incorporation of modern technology and methodologies is becoming less common, as the field moves towards more integrated and comprehensive approaches.
  3. General Reviews on Medical Physics:
    The prevalence of broad, non-specific reviews in medical physics is diminishing in favor of focused studies that provide deep insights into niche areas of research, reflecting a trend towards specialization.

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