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When Medicine Meets Artificial Intelligence: The Human–AI Alliance in Clinical Practice and Research

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Description

The book stems from a personal and professional journey developed through clinical and academic activity, with the aim of critically understanding the real level of maturity, reliability, and usefulness of Artificial Intelligence in medicine. Starting from a need for individual clarification, the exploration gradually evolved into a structured research based on the main biomedical scientific sources and supported by the conscious use of generative AI tools for analysis, synthesis, and organisation of knowledge. Throughout this work, the content has been enriched not only on a theoretical level but also with concrete guidance on how AI can be utilised in daily clinical practice, clarifying what is truly applicable, what operational limits exist, and how to integrate these tools without undermining the role of the doctor. Particular attention is given to the management of privacy and the protection of clinical data, illustrating approaches and strategies for ethically and confidentially using AI in the assessment of patients’ health information. The volume is intended for clinicians, researchers, and students interested in understanding the impact of AI on patient care, biomedical research, and scientific writing. The first part addresses clinical applications, benefits, and challenges of AI in areas such as diagnosis, prognosis, and personalised medicine. The second part is dedicated to AI support in study design, data analysis, and manuscript drafting. Overall, the book provides a pathway linking clinical practice with scientific production, offering up-to-date information, methodological and ethical reflections, and a realistic view of how Artificial Intelligence is already contributing to redefine contemporary medicine. Prof. Marco Zaffanello, MD, PhD

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 January 2026
Listed Since
08 January 2026

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