Call for papers on Advances in Artificial Intelligence for Cardiac Imaging Special Issue
• 大类 : 医学 - 4区
• 小类 : 工程：生物医学 - 4区
• 小类 : 核医学 - 4区
Cardiac imaging involves an array of sophisticated imaging modalities such as coronary catheterization, echocardiography, intravascular ultrasound, cardiac CT, cardic MRI, and cardiac PET. Computerized analysis, interpretation, and visualization of these digital imaging modalities, a.k.a. computerized cardiac imaging, is essential to aid pre-operative assessment, diagnosis or monitoring of a heart condition or to screen for cardiovascular diseases (CVDs). Computerized cardiac imaging is an interdisciplinary field of study that actively adopts and integrates the latest advances in information science and technologies, including the acquisition, processing, analysis and visualization of cardiac images. The goal of computerized cardiac imaging is to better understand the disease pathology and mechanism, assess the cardiac conditions, and prevent the development of cardiovascular diseases. Recent development of artificial intelligence (AI) in medical imaging has stimulated many new strategies and technological development for cardiac image analysis and interpretation. It is thus timely to organize a special journal issue reporting the current trends, challenges, and opportunities of computerized cardiac imaging. This special issue will present new algorithms, applications, and technologies using artificial intelligence for advancing computerized cardiac imaging. In this issue, we hope to collect the latest efforts from our community for addressing the following challenges: 1) the use of AI to accelerate the collection and communication of cardiac imaging data reliably; 2) efficient processing and visualization of high-resolution cardiac imaging data using AI for clinical diagnosis and interventions; and 3) the development and adoption of AI theories and algorithms to integrate and understand multimodal cardiac imaging and relevant cardiac spectral and clincal data for objective evaluation of the cardiac conditions and for the delivery of precise medicine in cardiac care.
Potential topics of this special issue include, but are not limited to:
AI based computer-aided detection and diagnosis on various cardiac imaging modalities.
AI based image processing applications in cardiac assessment, diagnosis and monitoring.
AI based real-time processing of 3D volumetric data such as cardiac CT, MRI, and PET images.
AI algorithms and techniques for faster and reliable acquisition and visualization of cardiac images.
Al algorithms and frameworks in security, privacy, communication, integrity, and trust of cardiac images.
AI approaches and methods in addressing imbalanced or unstructured cardiovascular data.
Novel machine learning algorithms in computational cardiac imaging.