Decoding Artificial Intelligence for Physicians

The integration of AI in healthcare is not just a trend; it represents a fundamental shift that redefines how we diagnose, treat, and prevent diseases. From enhancing diagnostic accuracy in radiology to facilitating personalized medicine in oncology and improving chronic disease management through predictive analytics, AI is already playing a critical role in patient’s care. Yet, for many physicians, understanding the nuances of AI applications, ethical implications, and integration challenges remains an obstacle. This book seeks to demystify AI for clinicians by providing a structured exploration of AI’s current and potential applications across multiple specialties, supplemented with practical case studies, ethical considerations, and regulatory insights.

Key features

• 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.