Abstract
The accelerating power of deep learning in diagnosing a disease and analyzing medical data will empower physicians and speed up decision-making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated large amounts of biomedical information in recent years. These pose challenges, demands, and opportunities for new AI methods and computational models for efficient data processing, analysis, and modeling with the generated data that are important for clinical applications and in understanding the underlying biological process.