Artificial Intelligence and Deep Learning in Clinical Classification and Prediction
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: 31 December 2024 | Viewed by 14
Special Issue Editor
Interests: medical image analysis; machine learning and artificial intelligence for computer-aided diagnosis and treatment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and deep learning (DL) technologies have seen widespread application in the medical field, particularly in the classification and prediction of clinical diseases. These methods can uncover complex patterns and correlations from large clinical datasets, thereby improving the accuracy of diagnosis and prognosis.
By training deep neural network models, accurate classification of disease types, severity, treatment response, and other factors can be achieved. For example, in cancer diagnosis, DL algorithms can identify tumor characteristics from medical images, assisting clinicians in making diagnostic decisions. In cardiovascular disease prediction, DL models can forecast the risk of heart attacks by incorporating biomarkers, symptoms, and other data. These applications significantly enhance the efficiency and accuracy of clinical decision-making, contributing to more precise medical care.
Despite the tremendous success of AI and DL in healthcare, challenges such as data privacy, model interpretability, and generalizability remain. Moving forward, it will be crucial to further improve the reliability and safety of these technologies to maximize their benefits in clinical practice.
Prof. Dr. Gemma Piella
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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.
Keywords
- artificial intelligence
- deep learning
- clinical classification
- clinical prediction
