The Cognitive Eye: AI-Driven Perception and Visualization in Surgery provides a contemporary and clinically oriented overview of how artificial intelligence, computer vision, and advanced visualization technologies are transforming modern surgery.
The book explores the transition from conventional computer-assisted visualization toward systems capable of interpreting complex visual and multimodal information and transforming it into clinically meaningful guidance. It addresses technologies used in preoperative planning, intraoperative imaging, surgical navigation, image fusion, augmented and virtual reality, computer vision, real-time decision support, and robotic surgery.
Written by an international multidisciplinary team of surgeons, engineers, computer scientists, and experts in medical technology, the book connects technological principles with their practical application in the operating room. Particular emphasis is placed on how AI-supported perception can enhance the surgeon's ability to recognize anatomical structures, interpret operative situations, integrate multiple sources of information, and interact with increasingly intelligent surgical systems.
Beyond current clinical applications, the book examines the development of the cognitive operating room, surgical data science, human-machine collaboration, and the emerging transition from assistive visualization toward context-aware and increasingly autonomous surgical technologies.
Combining clinical experience, technological foundations, and perspectives on future development, this book is intended for surgeons, surgical trainees, engineers, researchers, and professionals involved in digital surgery, medical robotics, artificial intelligence, and computer-assisted interventions.
The Cognitive Eye: AI-Driven Perception and Visualization in Surgery provides a contemporary and clinically oriented overview of how artificial intelligence, computer vision, and advanced visualization technologies are transforming modern surgery.
The book explores the transition from conventional computer-assisted visualization toward systems capable of interpreting complex visual and multimodal information and transforming it into clinically meaningful guidance. It addresses technologies used in preoperative planning, intraoperative imaging, surgical navigation, image fusion, augmented and virtual reality, computer vision, real-time decision support, and robotic surgery.
Written by an international multidisciplinary team of surgeons, engineers, computer scientists, and experts in medical technology, the book connects technological principles with their practical application in the operating room. Particular emphasis is placed on how AI-supported perception can enhance the surgeon's ability to recognize anatomical structures, interpret operative situations, integrate multiple sources of information, and interact with increasingly intelligent surgical systems.
Beyond current clinical applications, the book examines the development of the cognitive operating room, surgical data science, human-machine collaboration, and the emerging transition from assistive visualization toward context-aware and increasingly autonomous surgical technologies.
Combining clinical experience, technological foundations, and perspectives on future development, this book is intended for surgeons, surgical trainees, engineers, researchers, and professionals involved in digital surgery, medical robotics, artificial intelligence, and computer-assisted interventions.
Konrad Karcz
Surgical Data Science Surgical imaging Image-guided surgery Machine vision Medical informatics Artificial intelligence Big data in medicine Machine learning Neural networks Automation in medicine Robotic surgery Surgical robots