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Etat : New. pp. 150.

Etat : New. pp. 150 First Edition NO-PA16APR2015-KAP.

Paperback. Etat : New. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.

Etat : New.

Etat : New.

Soft cover. Etat : New. This book, "AI in Medicine: Clinical Updates & Physician Perspectives", is the culmination of collaborative efforts from global physician leaders, AI experts, and educators committed to responsibly shaping the next frontier of healthcare. Our goal was simple yet ambitious: To present a physician-led, evidence-based, and multidisciplinary textbook that reflects real-world AI applications in medicine and prepares healthcare professionals for a digital future. From primary care to highly specialized fields like endocrinology, pediatrics, radiology neuropsychiatry, clinical pharmacology, and many more, this book provides readers with clinical updates, practical guidance, and case-based insights. Importantly, it also includes chapters on core AI principles, responsible deployment, education and training, and generative AIall written by clinicians who have been active in both AI implementation and medical practice. This textbook is also a reflection of the vision of Doctors AI, a growing movement of clinicians upskilling for the AI era. Key Features Clinician-centric and evidence-based: Written by doctors for doctors, ensuring contextual clarity in AI adoption. Comprehensive multispecialty coverage: 30 chapters spanning diagnostics, therapeutics, public health, robotics, generative AI, and more. Education and training focus: Includes exclusive content on AI literacy, curricular integration, and real-world training models like CCAIM. Global perspectives: Contributions from Indian and international physicians contextualized to LMICs and developed systems alike. Cutting-edge developments: Includes content on LLMs, multimodal AI, wearable tech, digital therapeutics, and legal updates. Practical tools and MCQs: A dedicated self-assessment section with applied clinical questions and AI interpretation examples. Responsible AI frameworks: Emphasis on fairness, explainability, traceability, and robustness in clinical AI deployment.

Paperback. Etat : New. The integration of Artificial Intelligence (AI) in healthcare represents a fundamental shift that redefines how clinicians diagnose, treat and prevent disease. From enhancing diagnostic accuracy in radiology, to facilitating personalised medicine in oncology, and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient care. However, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges, remains an obstacle.This book helps demystify AI by providing a structured overview of its current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.The text addresses both technical and practical aspects of AI, providing readers with the knowledge needed to evaluate, implement and benefit from AI tools in clinical settings.Each chapter is enriched by real-world examples, tables and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios not only inform, but also provoke thought about the ethical, legal and operational challenges associated with AI in health care.The book concludes with a self-assessment section comprising a selection of multiple choice questions (MCQs) allowing readers to test their knowledge and further enhance understanding.