Application of Artificial Intelligence in Radiological Imaging Analysis and Diagnosis

Dear Colleagues,

The application of Artificial Intelligence (AI) in radiological imaging has significantly transformed the field of medical diagnostics, enabling faster and more accurate analyses, streamlining radiology workflows, assisting radiologists in making critical decisions, and improving patient care. This Special Issue aims to gather groundbreaking research and innovative applications that leverage AI to advance radiological imaging analysis and diagnosis.

We welcome submissions exploring topics including, but not limited to, the following:

1. AI-Enhanced Radiological Image Analysis: Use of novel AI algorithms and methodologies for image segmentation, object detection, feature extraction, and disease classification in various radiological modalities, including X-ray, MRI, CT, ultrasound, and PET.
2. Intelligent Decision Support Systems: Development and validation of AI-based decision support systems to aid radiologists in detecting abnormalities, diagnosing diseases, and providing personalized treatment recommendations.
3. Natural Language Processing (NLP) for Radiological Reports: Application of NLP techniques to extract, analyze, and interpret information from radiological reports, enabling better communication and the integration of data into patient care.
4. Transformer Machine Learning in Radiology: Applications of transformer-based models in medical imaging, including transformer-based segmentation, transfer learning, and anomaly detection.
5. Generative AI: Utilization of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other generative models to generate synthetic medical images, improve data augmentation, and enhance training datasets.
6. Large Language Models in Medical Imaging and Diagnosis: Utilizing state-of-the-art large language models to advance radiological diagnosis, disease prediction, and prognosis assessment.

Prof. Dr. Tim Duong
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 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. 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.