Artificial Intelligence in Clinical, Diagnostic and Laboratory Medicine

Sultan Ayoub Meo

• Publisher: Elsevier
• Year: 2026
• Topic: Biological Sciences
• eBook ISBN:
  9780443459740
• Subtopic: Biology
• Index: Biological Sciences

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. - Provides foundational and clinical insights into AI applications across medicine and education - Explores emerging trends in diagnostics, patient management, and robotic surgery - Addresses ethical, privacy, and regulatory implications of AI in healthcare delivery

Table of contents

• Title of Book
• Chapter 1 Artificial intelligence in medical sciences: Historical background
• Chapter 2 Stethoscope to algorithm: Artificial intelligence in the advancement of clinical practice
• Chapter 3 Machine learning: Early disease diagnosis, prediction and prevention
• Chapter 4 Artificial intelligence in laboratory medicine and disease diagnosis
• Chapter 5 Artificial intelligence in cancer detection: From whole-body screening to breast and brain imaging
• Chapter 6 Role of robotic technology in surgical and healthcare settings
• Chapter 7 Artificial intelligence: Physicians and patients’ communication
• Chapter 8 Artificial intelligence: Role in advancing public health
• Chapter 9 Artificial intelligence and telemedicine in healthcare settings
• Chapter 10 Artificial intelligence: Reshaping medical education and the healthcare system
• Chapter 11 Artificial intelligence in advancing medical learning, training and simulation
• Glossary of terms used in artificial intelligence (AI)
• Index