Artificial Intelligence in Biomedical Imaging: 2nd Edition

Dear Colleagues,

Artificial intelligence (AI) is a revolutionary technology increasingly used in medicine. Biomedical imaging is one of the most promising clinical applications of AI. AI can be leveraged to help clinicians to improve the accuracy and efficiency of diagnosing a wide range of illnesses. AI solutions in biomedical imaging are expected to improve workflow efficiency without a loss of accuracy. In the case of cancer, an AI-assisted imaging evaluation may deliver an early diagnosis, and precise tumor staging and intelligent-imaging-guided intervention may improve treatment precision. Despite the fast development and great potential of AI, many difficulties and challenges still slow the implementation of AI in biomedical imaging. Determining how to improve AI’s credibility and increase AI models’ interpretability and transparency are topics that still require in-depth research. It is well understood that AI solutions can support radiologists and reduce their workload because they can increase efficiency, increase accuracy and standardization, and further improve patients’ lives. However, clinical implementation of AI in biomedical imaging is still at a lower scale. Therefore, the challenges of AI implementation in biomedical imaging need to be addressed by further technical development.

We are pleased to present a new Special Issue on “Artificial Intelligence in Biomedical Imaging”. This Special Issue aims to highlight recent developments in AI-driven biomedical imaging technologies, such as novel machine learning models, image analysis algorithms, imaging devices/sequences, optimization, effectiveness predictions, interpretability, translatability, etc. We are looking for articles on AI-driven biomedical imaging that can support better medical diagnostics/treatment for individual patients in healthcare systems.

This is the second edition of our Special Issue "Artificial Intelligence in Biomedical Imaging". Please feel free to download and read it freely via the following link:
https://www.mdpi.com/journal/bioengineering/special_issues/62T1UKFN5D.

Dr. Alan Wang
Dr. Sibusiso Mdletshe
Dr. Brady Williamson
Prof. Dr. Guizhi Xu
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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.

• artificial intelligence
• biomedical imaging
• medical image analysis
• imaging device
• imaging sequence
• imaging-guided intervention
• interpretability
• translatability