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Artificial Intelligence in Clinical, Diagnostic and Laboratory Medicine

  • Book

  • September 2026
  • Elsevier Science and Technology
  • ID: 6251281
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.

Table of Contents

1. Historical Background: AI in Medical Sciences and Medical Education
2. Stethoscope to Algorithm: AI in the Evolution of Clinical Practice
3. Machine Learning: Early Diagnosis, Disease Prediction and Prevention
4. Digital Biomarkers and AI-Based Patient Monitoring
5. Artificial Intelligence and Cancer Detection: From Body to Breast to Brain
6. Role of Robotic Technology in Surgical and Healthcare Settings
7. The Role of AI in Enhancing Clinician and Patient Interaction
8. Artifical Intelligence: Role of Pandemics and Prevention of Public Health
9. Artificial Intelligence in Telemedicine and Public Services
10. Artificial Intelligence: Reshaping Healthcare and Medical Learning
11. Artificial Intelligence in Medical Education, Training, and Simulation

Authors

Sultan Ayoub Meo Professor and Consultant in Clinical Physiology, Department of Physiology (29), College of Medicine, King Saud University, Saudi Arabia.

Prof. Sultan Ayoub Meo is a distinguished medical graduate with advanced postgraduate and doctoral degrees in physiology. He holds fellowships from several prestigious Royal Colleges of the United Kingdom and Ireland and earned a master's in medical education from the University of Dundee, Scotland.

Prof. Meo has been recognized for excellence in medicine and has served as a doctoral supervisor and examiner at multiple universities in Saudi Arabia and Malaysia. He's the author of several books and over one hundred sixty scientific papers published in high-impact peer-reviewed journals, covering a broad range of biomedical and clinical research topics.

Additionally, he's served as an associate editor for numerous international journals and has been invited to deliver keynote lectures and presentations at national and international conferences across Europe, Asia, the Middle East, and the United States. Prof. Meo is widely regarded for his contributions to clinical research, medical education, and healthcare innovation.