Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis.

The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management.

The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.  

This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery.

The book is designed for bioinformaticians,obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.

This book is a comprehensive and full-fledged presentation of how modern algorithmic tools and techniques with software implementations can provide an effective and efficient solution of a multitude of problems faced in real life. These problems range from all kinds of data analyses, medical data analyses, image analyses and recognitions, support of medical diagnoses, etc. to new concepts of smart towns and other environments. Emphasis will be on the role of intelligent systems and artificial intelligence and a synergistic collaboration between human beings and computer systems. Modern decision support systems are a main focus point.

"Artificial Intelligence for Future Society" presents the revolution in future societies by enhancing efficiency, connectivity, and personalization across various sectors. Its future aspects include the integration of AI in everyday life through smart cities, autonomous vehicles, and advanced healthcare systems, providing a more intelligent, responsive, and adaptive environment that meets the evolving needs of humanity. This volume explores the most recent innovations and significant developments in the domains of Artificial Intelligence and its impact in transforming society, propelling innovation across diverse fields such as healthcare, education, finance, and transportation. It spans a wide range of dimensions, including:

By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Artificial Intelligence. Artificial Intelligence brings numerous benefits to society, including improved efficiency and productivity in various industries through automation and intelligent data analysis. It enhances healthcare with advanced diagnostic tools and personalized treatment plans, and provides smarter living environments through smart cities and innovative technologies.

This book presents an essential guide to understanding the power of artificial intelligence in reshaping the healthcare system. In the rapidly evolving world of healthcare, a guide of how to use artificial intelligence in hospital management is crucial. The book explores how readers can use artificial intelligence to optimize patient care, costs, revenue, and profits. It examines real-world applications and case studies and provides theoretical concepts together with examples in order to show the hospital manager how to avoid over-testing, over-treating, and over-resourcing, how to enhance the pathology and radiology departments, how to use the Internet of Surgical things together with virtual and augmented reality.  Besides this, it is shown how multiple artificial intelligence models can be used in disaster scenarios.

Whether readers are computer scientists, mathematicians, healthcare professionals, medical students, or tech enthusiasts, this book provides a clear look into how artificial intelligence is shaping the future of hospitals. Embrace the chance artificial intelligence brings to the healthcare system and learn how it can be used to save lives today.

This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, artificial intelligence (AI) has been on a trajectory of rapid advancement, with deep learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution.

Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis.

The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management.

The goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.  

This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery.

The book is designed for bioinformaticians,obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.

This book is a comprehensive and full-fledged presentation of how modern algorithmic tools and techniques with software implementations can provide an effective and efficient solution of a multitude of problems faced in real life. These problems range from all kinds of data analyses, medical data analyses, image analyses and recognitions, support of medical diagnoses, etc. to new concepts of smart towns and other environments. Emphasis will be on the role of intelligent systems and artificial intelligence and a synergistic collaboration between human beings and computer systems. Modern decision support systems are a main focus point.

"Artificial Intelligence for Future Society" presents the revolution in future societies by enhancing efficiency, connectivity, and personalization across various sectors. Its future aspects include the integration of AI in everyday life through smart cities, autonomous vehicles, and advanced healthcare systems, providing a more intelligent, responsive, and adaptive environment that meets the evolving needs of humanity. This volume explores the most recent innovations and significant developments in the domains of Artificial Intelligence and its impact in transforming society, propelling innovation across diverse fields such as healthcare, education, finance, and transportation. It spans a wide range of dimensions, including:

By merging cutting-edge theoretical insights with practical applications, this volume provides researchers, practitioners, and students with the essential knowledge and tools to explore and advance within the dynamic field of Artificial Intelligence. Artificial Intelligence brings numerous benefits to society, including improved efficiency and productivity in various industries through automation and intelligent data analysis. It enhances healthcare with advanced diagnostic tools and personalized treatment plans, and provides smarter living environments through smart cities and innovative technologies.

This book presents an essential guide to understanding the power of artificial intelligence in reshaping the healthcare system. In the rapidly evolving world of healthcare, a guide of how to use artificial intelligence in hospital management is crucial. The book explores how readers can use artificial intelligence to optimize patient care, costs, revenue, and profits. It examines real-world applications and case studies and provides theoretical concepts together with examples in order to show the hospital manager how to avoid over-testing, over-treating, and over-resourcing, how to enhance the pathology and radiology departments, how to use the Internet of Surgical things together with virtual and augmented reality.  Besides this, it is shown how multiple artificial intelligence models can be used in disaster scenarios.

Whether readers are computer scientists, mathematicians, healthcare professionals, medical students, or tech enthusiasts, this book provides a clear look into how artificial intelligence is shaping the future of hospitals. Embrace the chance artificial intelligence brings to the healthcare system and learn how it can be used to save lives today.

This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, artificial intelligence (AI) has been on a trajectory of rapid advancement, with deep learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution.