Artificial Intelligence in Diagnosis and Management of Cardiovascular Diseases
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: 30 June 2025 | Viewed by 893
Special Issue Editors
Interests: echocardiography; pediatric cardiology; congenital heart disease; congenital cardiopathy in adults; artificial intelligence; automatic measurements
Special Issues, Collections and Topics in MDPI journals
Interests: echocardiography; congenital heart disease; cardiac function; heart valve diseases; cardiac imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, artificial intelligence (AI) has shown great potential in the diagnosis and risk prediction of cardiovascular diseases. Deep learning and image recognition technology enable the automatic analysis of cardiovascular images available, making the identification of cardiac lesions quickly and accurate. This not only improves diagnostic efficiency, but also reduces the rate of misdiagnosis and missed diagnosis caused by human factors. Machine learning technology helps analyze huge amounts of clinical data and identify potential risk factors (such as high blood pressure, hyperlipidemia, diabetes, etc.) so that doctors can intervene in advance to reduce the risk of cardiovascular disease. AI also plays an important role in patient management and follow-up. Smart wearable devices and remote monitoring systems can monitor patients' heart rate, blood pressure and other physiological indicators in real time, detect abnormalities in time and notify doctors for intervention. This Special Issue aims to share the latest applications of AI technology in cardiovascular medicine. Original research articles and reviews are welcome.
Potential topics include, but are not limited to, the following:
- AI in the automated diagnosis of cardiovascular diseases;
- Deep learning techniques for cardiovascular imaging;
- Machine learning for risk prediction and stratification in cardiovascular patients;
- Integration of AI with electronic health records for cardiovascular care;
- AI-driven personalized treatment plans and precision medicine in cardiology;
- Use of natural language processing to analyze clinical notes and cardiovascular outcomes;
- AI in predicting and managing heart failure and arrhythmias;
- The role of AI in the early detection of congenital heart diseases;
- AI-based decision support systems for cardiologists;
- Applications of AI in interventional cardiology and surgery;
- AI-powered remote monitoring and telemedicine in cardiovascular care;
- Development and validation of AI algorithms in multi-center cardiovascular studies.
We look forward to receiving your contribution.
Dr. Corina Maria Vasile
Dr. Xavier Iriart
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. 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
- cardiovascular diseases
- artificial intelligence
- deep learning
- machine learning
- wearable devices
- imaging techniques
- personalized medicine
- risk prediction
- telemedicine
- remote monitoring
- ethical considerations
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