Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain

2022/02/25 by Milad Moradi, Moradi, Milad, Matthias Samwald +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)

paper · pdf · doi:10.48550/arxiv.2202.12678

openalex publication_date 2022/02/25 · openalex created_date 2022/04/03 · openalex updated_date 2026/07/28

Abstract

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.

Cited by

• MedVAL: Toward Expert-Level Medical Text Validation with Language Models

Related

• A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
• AI for Biomedicine in the Era of Large Language Models
• Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges
• Explainable AI for Bioinformatics: Methods, Tools, and Applications
• What do we need to build explainable AI systems for the medical domain?