Artificial Intelligence in Clinical, Diagnostic and Laboratory Medicine

Artificial Intelligence in Clinical, Diagnostic, and Laboratory Medicine explores how AI is transforming the landscape of modern healthcare—from diagnosis and clinical management to medical education and research. The book highlights AI’s growing role in medical education as well, demonstrating how virtual simulations, adaptive learning, and data-driven assessments are enhancing student training and clinical readiness. Addressing both opportunities and challenges, it examines ethical, regulatory, and privacy considerations that accompany this technological shift. Readers will find balanced, evidence-based insights into how AI can advance clinical efficiency and public health while maintaining professional and ethical integrity.

Designed for physicians, medical students, educators, and policymakers, this book provides a comprehensive overview of how intelligent systems are reshaping the way clinicians think, learn, and practice. As AI now performs a wide range of cognitive tasks once limited to humans, including reasoning, problem-solving, and pattern recognition, this book helps readers understand the integration of AI into clinical workflows for more accurate diagnoses and streamlined decision-making.