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Treatise on Algorithmic Medicine and Medical Responsibility: Clinical, Technological, and Legal Foundations of Artificial Intelligence–Assisted Medicine

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Description

Treatise on Algorithmic Medicine and Medical Responsibility presents a systematic examination of one of the most profound transformations in contemporary healthcare: the integration of artificial intelligence into clinical decision-making and medical practice. Advances in machine learning, biomedical data analysis, and digital health technologies are rapidly expanding the analytical capacity of medicine. Algorithms can now process vast volumes of clinical, molecular, and epidemiological data, identifying patterns that may assist physicians in diagnosis, risk prediction, and therapeutic planning. However, the introduction of these technologies also raises fundamental questions about responsibility, clinical judgment, governance, and the limits of automated decision systems in medicine. This treatise explores the scientific, clinical, technological, and legal foundations of artificial intelligence–assisted medicine. Drawing on interdisciplinary perspectives from clinical medicine, biomedical science, data science, and medical law, the book analyzes how algorithmic systems are reshaping the informational environment in which physicians make decisions. The work examines key themes including: • the role of artificial intelligence in clinical decision support • the interaction between human clinical judgment and algorithmic analysis • causal reasoning and responsibility in AI-assisted medical decisions • the institutional governance of medical technologies • ethical challenges associated with machine learning in healthcare • the economic and social implications of digital medicine • the structural limits of automation in biological systems • the future scientific paradigm of algorithmic medicine Throughout the book, a central argument is maintained: artificial intelligence expands the analytical capabilities of medicine but does not replace the responsibility, judgment, and ethical commitment that define the medical profession. Medicine operates within complex biological systems characterized by variability, uncertainty, and evolving knowledge. Algorithmic tools may support physicians by revealing patterns in large datasets, but the interpretation of these patterns requires clinical reasoning, contextual understanding, and professional responsibility. Treatise on Algorithmic Medicine and Medical Responsibility therefore offers a rigorous conceptual framework for understanding the emerging relationship between artificial intelligence, clinical practice, and medical accountability. Written for physicians, researchers, healthcare administrators, legal professionals, and scholars interested in the future of medicine, this work provides a comprehensive analysis of how technological innovation is transforming healthcare while reaffirming the enduring foundations of medical responsibility.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 March 2026
Listed Since
11 March 2026

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