Explainable Artificial Intelligence in Medical Imaging
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 1396
Special Issue Editor
Interests: disease recognition using artificial intelligence methods; digital health; multimodal interfaces; biomedical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of artificial intelligence (AI) and machine learning (ML) technologies has revolutionized various sectors, with healthcare being one of the most significantly impacted. In particular, AI and ML have shown immense potential in the field of medical imaging, aiding in the detection, diagnosis, and prognosis of various diseases. However, the "black box" nature of these technologies often hinders their full acceptance in clinical practice. The need to understand, interpret, and explain AI-driven decisions is paramount, especially in the high-stakes field of healthcare.
This Special Issue of Diagnostics, titled "Explainable Artificial Intelligence in Medical Imaging", aims to gather and showcase the latest research, developments, and ideas that focus on making AI and ML models in medical imaging more interpretable and explainable. We invite contributions that address the challenges of integrating explainable AI (XAI) into medical imaging, including (but not limited to), the development of novel XAI models, the validation of XAI in clinical settings, ethical considerations, and the impact of XAI on patient outcomes.
Call for Papers
We invite researchers and practitioners from academia, industry, and healthcare to submit original research articles, review articles, and brief reports that enhance the field of explainable AI in medical imaging. Topics of interest include, but are not limited to, the following:
- Novel XAI models for medical imaging;
- The clinical validation of XAI models;
- The impact of XAI on diagnostic accuracy and patient outcomes;
- Ethical considerations in the application of XAI in medical imaging;
- The successful implementation of XAI in medical imaging;
- Strategies for integrating XAI into existing diagnostics systems;
- Patient and healthcare professional perspectives on XAI in medical imaging.
Dr. Robertas Damaševičius
Guest Editor
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. Diagnostics 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 2600 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.
