Healthcare Applications of Neuro-Symbolic Artificial Intelligence

Häftad, Engelska, 2025

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Beskrivning

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

Produktinformation

Utgivningsdatum:2025-08-19
Mått:191 x 235 x 30 mm
Vikt:1 180 g
Format:Häftad
Språk:Engelska
Antal sidor:578
Förlag:Elsevier Science
ISBN:9780443300462

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Biovetenskap inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och IT

Mer om författaren

Dr. Boris Galitsky is a cofounder of Knowledge Trail, San Jose, CA. He has contributed linguistic and machine learning technologies to Silicon Valley start-ups as well as companies such as eBay and Oracle for over 25 years. His information extraction and sentiment analysis techniques assisted several acquisitions, such as Xoopit by Yahoo, Uptake by Groupon, LogLogic by Tibco, and Zvents by eBay. His security-related technologies of document analysis contributed to the acquisition of Elastica by Symantec. As an architect of the Intelligent Bots project at Oracle, he developed a discourse analysis technique used for dialogue management and published in the book Developing Enterprise Chatbots. He also published a two-volume monograph “AI for CRM, based on his experience developing Oracle Digital Assistant. He is an Apache committer to OpenNLP where he created OpenNLP. Similarity component that is a basis for a semantically enriched search engine and chatbot development. Dr. Galitsky’s exploration and formalization of human reasoning culminated in the book Computational Autism broadly used by parents of children with autism and rehabilitation personnel. His focus on the medical domain led to another research monograph, Artificial Intelligence for Healthcare Applications and Management, co-authored with Dr. Saveli Goldberg.

Innehållsförteckning

1. Neuro-Symbolic Shaped-Charge Learning Architecture2. Health Applications of Shaped-Charge Learning3. Enabling LLM with plug-and-play symbolic reasoning components4. Extending LLM capabilities beyond reasoning (Boris Galitsky and Alexander Rybalov)5. Differential Diagnose-making with LLM and Probabilistic Logic Program6. LLM-based Personalized Recommendations in Health7. Leveraging Medical Discourse to Answer Complex Questions8. Identifying LLM Hallucinations in Health Communication9. Enabling LLMs with explainability10. Explainability Discourse11. Enabling Retrieval-Augmented Generation and Knowledge Graphs with Discourse Analysis12. Employing LLM to solve Constraint Satisfaction13. Kolmogorov-Arnold Network for Word-Level Explainable Meaning Representation14. Conclusions