Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
It is a review paper summarizing existing methods and concepts for researchers in the biomedical field, with no incremental contributions.
This article provides an overview of artificial intelligence applications in biology and medicine, focusing on deep learning, natural language processing for textual data, and explainable AI in the biomedical domain, without presenting new experimental results or specific numbers.
In this article, we first give an introduction to artificial intelligence and its applications in biology and medicine in Section 1. Deep learning methods are then described in Section 2. We narrow down the focus of the study on textual data in Section 3, where natural language processing and its applications in the biomedical domain are described. In Section 4, we give an introduction to explainable artificial intelligence and discuss the importance of explainability of artificial intelligence systems, especially in the biomedical domain.