Healthcare data are inherently multimodal, including electronic health records (EHR),
medical images, and multi-omics data. Combining these multimodal data sources …

Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …

The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …

We would like to express our gratitude to all authors who contributed to the Special Issue of
“Artificial Intelligence Advances for Medical Computer-Aided Diagnosis” by providing their …

Technologies such as genome sequencing, gene expression profiling, proteomic and
metabolomic analyses, electronic medical records, and patient-reported health information …

Big data, coupled with the use of advanced analytical approaches, such as artificial
intelligence (AI), have the potential to improve medical outcomes and population health …

The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful
tools with transformative potential across various sectors, particularly in healthcare. This …

Data-driven machine learning (ML) has emerged as a promising approach for building
accurate and robust statistical models from medical data, which is collected in huge volumes …