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Healthcare Applications of Neuro-Symbolic Artificial Intelligence - Boris Galitsky

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

(Autor)

Buch | Softcover
300 Seiten
2025
Academic Press Inc (Verlag)
978-0-443-30046-2 (ISBN)
CHF 249,95 inkl. MwSt
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Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic AI, presenting the most recent advances in deep learning and integration of neuro-symbolic (NS) systems and Large Language Models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, in order to create hybrid architectures and reasoning techniques to overcome 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 artificial intelligence, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLM through the health application of neuro-symbolic architecture.

Dr. Boris Galitsky has contributed linguistic and machine learning technologies to Silicon Valley startups as well as companies like eBay and Oracle for over 25 years. Dr. Galitsky’s information extraction and sentiment analysis techniques assisted several acquisitions, such as Xoopit by Yahoo, Uptake by Groupon, Log logic by Tibco and Zvents by eBay. His security-related technologies of document analysis contributed to the acquisition of Elastica by Semantec. As an architect of the Intelligent Bots project at Oracle, Dr. Galitsky 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 Apache committer to OpenNLP where he created OpenNLP. Similarity component which 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 autistic reasoning 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

1. Neuro-Symbolic Shaped-Charge Learning Architecture
2. Health Applications of Shaped-Charge Learning
3. Enabling LLM with plug-and-play symbolic reasoning components
4. Extending LLM capabilities beyond reasoning (Boris Galitsky and Alexander Rybalov)
5. Differential Diagnose-making with LLM and Probabilistic Logic Program
6. LLM-based Personalized Recommendations in Health
7. Leveraging Medical Discourse to Answer Complex Questions
8. Identifying LLM Hallucinations in Health Communication
9. Enabling LLMs with explainability
10. Explainability Discourse
11. Enabling Retrieval-Augmented Generation and Knowledge Graphs with Discourse Analysis
12. Employing LLM to solve Constraint Satisfaction
13. Kolmogorov-Arnold Network for Word-Level Explainable Meaning Representation
14. Conclusions

Erscheint lt. Verlag 1.8.2025
Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Informatik Weitere Themen Bioinformatik
ISBN-10 0-443-30046-1 / 0443300461
ISBN-13 978-0-443-30046-2 / 9780443300462
Zustand Neuware
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