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Artificial Intelligence Integration in Medical Imaging

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

Artificial Intelligence (AI) has emerged as a transformative force in the field of medical imaging, offering new possibilities for diagnosis, prognosis, treatment planning, and workflow optimization. By harnessing techniques such as deep learning, computer vision, and generative modeling, AI systems can analyze complex imaging data with unprecedented accuracy and efficiency, supporting clinicians in making more informed decisions and improving patient outcomes.

Despite notable progress, important challenges remain in translating AI into real-world clinical practice. These include the need for robust validation, interpretability, data harmonization across institutions, and the integration of multimodal information such as electronic health records, pathology, and genomics. This Special Issue seeks to explore cutting-edge research, novel methodologies, and practical applications of AI in medical imaging across various domains.

We invite original research articles, reviews, and case studies that address the development, validation, and clinical implementation of AI technologies in medical imaging. Interdisciplinary contributions that connect AI with real-world data, regulatory perspectives, or clinical trials are especially welcome.

Dr. Agnieszka Stankiewicz
Prof. Dr. Adam Konefał
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • medical imaging
  • deep learning
  • computer vision
  • clinical decision support
  • image analysis
  • radiomics
  • multimodal integration
  • real-world data
  • explainable AI

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Appl. Sci. - ISSN 2076-3417