ARTIFICIAL INTELLIGENCE FOR RADIOLOGY TECHNOLOGISTS

Artificial Intelligence is rapidly transforming modern radiology, and this book provides a practical and clinically oriented guide for students, technologists, educators, and healthcare professionals. Written by Professor Fazal Ahmad and Dr Sanjay Kumar, this work elucidates the foundations of Artificial Intelligence in radiology without requiring programming knowledge. The book covers AI assisted imaging workflows, machine learning concepts, NLP in radiology reporting, quality assurance, ethics, bias, PACS integration, and clinical applications. Through practical examples and case based exercises, the authors bridge the gap between technology and clinical practice, making this book an essential resource for radiology professionals.A special highlight of the book is Chapter 9, "AI for Reporting and Communication," which includes a QR code linked to Eagle Eyes, an educational AI based Ultrasound Report Creator developed by Professor Fazal Ahmad. This platform demonstrates how clinical and examination details can be converted into a structured radiology report. The system automatically generates PDF reports, helping readers understand the role of Artificial Intelligence in improving reporting workflow, consistency, communication, and documentation.The book also features a foreword by Er. Vishal Anand, Infosys Bangalore, whose insights into technology driven systems and Artificial Intelligence add perspective to the evolving role of AI in healthcare and diagnostic imaging.