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Elsevier: Workbook for Buck's
Step-by-Step Medical Coding, 2026 Editi

Workbook for Buck's Step-by-Step Medical Coding, 2026 Edition

A New Approach to Security and Privacy

Blockchain For Healthcare Data Management

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

Advances in Computational Methods and Modelling in Science and Engineering explores the application of computational techniques and modeling approaches in science and engineering, providing practical knowledge and skills for tackling complex problems using numerical simulations and data analysis. This book addresses the need for a cohesive and up-to-date resource in the rapidly evolving field of computational methods. It consolidates diverse topics, serving as a one-stop guide for individuals seeking a comprehensive understanding of the subject matter. Sections focus on mathematical techniques that provide global solutions for models arising in engineering and scientific research applications by considering their long-term benefits. The mathematical treatment of these models is very helpful in understanding these models and their real-world applications. The methods and modeling techniques presented are useful for mathematicians, engineers, scientists, and researchers working on the mathematical treatment of models in a wide range of applications, including disciplines such as engineering, physics, chemistry, computer science, and applied mathematics.

Advances in Computational Methods and Modeling for Science and Engineering

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.

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

Ethical, Legal and Societal Challenges

Artificial Intelligence in Biobanking

Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text, and the modeling systems described in the book are implemented using MATLAB as the programming language. Despite the heavy mathematical components of Agent-Based Models and complex systems, it is possible to utilize these models without in-depth understanding of their mathematical fundamentals. This book enables computer scientists, mathematicians, researchers, and engineers to apply ABM in a wide range of research and engineering applications. It gradually advances from basic to more advanced methods while reinforcing complex systems through practical, hands-on applications of various computational models.

Agent-Based Models with MATLAB

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Master advanced coding skills! Buck's The Next Step: Advanced Medical Coding and Auditing shows how to code for services such as medical visits, diagnostic testing and interpretation, treatments, surgeries, and anesthesia. Real-world cases (cleared of any patient identifiers) takes your coding proficiency a step further by providing hands-on practice with physician documentation. With this guide, you'll learn to pull the right information from medical documents, select the right codes, determine the correct sequencing of those codes, and properly audit cases. NEW! Coding updates include the latest information available, including 2026 code updates when releasedReal-world patient cases (cleared of any patient identifiers) simulate the first year of coding on the job by using actual medical records, allowing you to practice coding with advanced materialUNIQUE! Evaluation and Management (E/M) audit forms include clear coding instructions to help reduce errors in determining the correct level of serviceMore than 150 full-color illustrations depict and clarify advanced coding conceptsCoverage of CPT E/M guidelines changes for office and other outpatient codesFrom the Trenches boxes highlight the real-life experiences of professional medical coders and include photographs, quotes, practical tips, and advice

Buck's The Next Step: Advanced Medical Coding and Auditing, 2025/2026 Edition

Routledge Advances in Translation and Interpreting Studies

Critical Sociolinguistic Perspectives on Health Care Interpreting

Multilingual Practices and Monolingual Mindsets

Choose the book designed by coders for coders! Buck's 2026 ICD-10-PCS includes all the ICD-10-PCS codes you need to ensure the most accurate billing and reimbursement for inpatient medical procedures. As coders need extensive knowledge to code with ICD-10-PCS - and to choose from the thousands of possible codes - this edition provides colorful anatomy plates (including Netter’s Anatomy illustrations) and tables organized to simplify the process of choosing and building procedure codes. It comes with durable spiral binding, and includes a companion website with the latest coding updates.<ul><li>ICD-10-PCS Official Guidelines for Coding and Reporting (OGCR) provide easier reference to coding rules when they are needed most.</li><li>Convenient Guide to the 2026 Updates in the front of the book lists all new, revised, and deleted codes, providing at-a-glance lookup of the coding changes.</li><li>UNIQUE! Full-color anatomy plates (including Netter’s Anatomy art) are included in the front of the book to help you understand complex anatomic information and how it may affect choosing codes.</li><li>American Hospital Association's Coding Clinic® citations include official ICD-10-PCS coding advice relating to specific codes and their usage.</li><li>Hospital-Acquired Condition (HAC) symbol notes procedures related to HACs as outlined in the MS-DRG.</li><li>Symbols for Non-Covered and Limited-Coverage Procedures indicate related material outlined in the Definitions of Medicare Code Edits.</li><li>Sex edits from the Definition of Medicare Code Edits denote codes that are used only with patients of a specific sex.</li><li>Non-Operating Room Procedure symbols identify procedures that do and do not affect MS-DRG assignment.</li><li>Combinations symbol identifies procedures that can affect MS-DRG assignment.</li><li>Online Appendix: Procedure Combination Table displays each procedure cluster and the corresponding DRG, as well as a few procedure combinations that are designated as non-OR.</li></ul><ul><li>NEW! Updated 2026 Official Code set reflects the latest ICD-10 codes needed for procedural coding.</li></ul>

Buck's 2026 ICD-10-PCS

Explores challenge of securing sensitive medical data in the face of rising cyber threats. Examines how artificial intelligence can be leveraged to detect and mitigate cyber threats in healthcare systems and environments. Integrates advanced technologies: AI security applications, blockchain, cryptanalysis, 5G security.

Cybersecurity in Healthcare Applications

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine learning, robotics, and analytics - to drive innovation and improvements in healthcare delivery and outcomes. The book provides a comprehensive overview of the latest developments in decision intelligence technologies, and offers a practical resource that can help navigate through the complex landscape of healthcare decision-making. In 5 themes Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics focuses on the use of data analytics aad management techniques in healthcare to improve decision-making and healthcare outcomes, on the use of robotics, robots and genomics to improve biomedical informatics, on the use of genomics, clinical decision support systems (CDSS), machine learning, and deep learning to improve precision medicine and personalized treatment and on the ethical implications of using artificial intelligence (AI) in healthcare, ensuring trust in the technology, and making sure that it can be explained and understood by all stakeholders. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.

Machine Learning, Robotics, and Analytics in Biomedical Informatics

Advancing Healthcare through Decision Intelligence

Workbook for Buck's Step-by-Step Medical Coding, 2026 Edition

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