Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.
This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.

• Presents a comprehensive introduction to the field of neuro-symbolic AI in health, explaining hybrid architectures and reasoning techniques
• Provides hands-on training in navigating deep learning resources and APIs, including HuggingFace and GitHub, as well as reasoning systems like Prolog
• Describes buildable, scalable neuro-symbolic systems that can perform search, recommendation, content writing, diagnosis, treatment planning, and educational support