This book, Decoding Artificial Intelligence for Physicians, is crafted to serve as a comprehensive resource for healthcare professionals, researchers, and postgraduate students who aspire to understand and harness the transformative potential of artificial intelligence (AI) in their clinical and research endeavors.
This book is aimed to bridge the gap between advanced AI technologies and practical medical applications, making complex concepts accessible to those without an extensive technical background, while offering in-depth insights for advanced practitioners.
The text addresses both the technical and the practical aspects of AI, providing readers with the knowledge needed to evaluate, implement, and benefit from AI tools in clinical settings.
Each chapter has been enriched with real-world examples, tables, and case scenarios that illustrate the impact of AI in diverse medical contexts. These scenarios are intended not only to inform but also to provoke thought about the ethical, legal, and operational challenges associated with AI in health care.
Additionally, a rigorous set of multiple-choice questions in the final chapter has been included, which serves as both a review and an advanced assessment tool, particularly for postgraduate students and medical professionals preparing for specialized examinations.

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