Next-Generation Imaging and AI in Structural Heart Disease: From Detection to Risk Stratification and Prognosis
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 November 2026 | Viewed by 996
Special Issue Editor
2. Laboratory of Cardiac Structure and Function, Institute of Cardiovascular Diseases, West China Hospital, Sichuan University, Chengdu 610041, China
3. Cardiac Structure and Function Research Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
Interests: key mechanisms, early interventions, and novel device development for valvular heart disease; critical mechanisms, prevention strategies, and diagnostic/therapeutic device development for heart failure; core technologies and applications of intelligent modeling for cardiac diseases
Special Issue Information
Dear Colleagues,
Over the past decade, the integration of artificial intelligence (AI) has fundamentally reshaped the landscape of clinical medicine. Within the domain of Structural Heart Disease (SHD), AI algorithms, including machine learning classifiers, deep learning architectures, and generative models, demonstrate exceptional capabilities in analyzing complex medical data, enhancing diagnostic precision, advancing prognostic stratification, and guiding optimal interventions. Fueled by advances in imaging, multiple AI-powered techniques, including AI-CT, AI-MRI, AI-Echocardiography, and AI-Photonics imaging, are constantly thriving. This paradigm shift promises to significantly improve health economic outcomes and ultimately pave the way for precision SHD therapies, advancing the field beyond conventional, generalized therapies.
This Special Issue aims to bring together groundbreaking basic and clinical research focused on the diagnosis, risk assessment, and prognosis of SHD. We seek contributions that develop innovative imaging modalities and novel AI models for SHD, thereby accelerating the translational pathway of AI from bench to bedside.
Topics of Interest
In this Special Issue, we welcome original research articles, systematic reviews, meta-analyses, and narrative reviews. Research areas may include, but are not limited to, the following themes:
- AI-Driven Clinical Investigations: Clinical research on SHD utilizing cutting-edge AI methods to refine diagnosis, risk stratification, prognosis analysis, and beyond.
- Optimization of Therapeutic Strategies: AI-enhanced decision support for interventional procedures and minimally invasive surgeries.
- Innovation in Classical Imaging: Enhancing established SHD imaging modalities through novel AI-based reconstruction or analysis.
- Digital Health & Long-term Management: The role of AI-supported terminals and the Internet of Things (IoTs) in the lifetime care of SHD patients.
- Data Modality Analysis: In-depth discussions regarding the analytic methods of SHD-specific data.
- Generalized Artificial Intelligence: Development of AI models optimized for SHD data characteristics, with a particular interest in Artificial General Intelligence (AGI)
- Systemic methods for Imaging: New protocols, integrated diagnostic systems, and novel workflows for SHD imaging analysis.
We look forward to receiving your valuable contributions.
Prof. Dr. Mao Chen
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.
Keywords
- structural heart disease
- artificial intelligence
- diagnostic test
- risk stratification
- image innovation
- deep learning
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