AI in Clinical Practice – serie

Implementation of artificial intelligence (AI) in radiology is an important topic of discussion. Advances in AI—which encompass machine learning, artificial neural networks, and deep learning—are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, certain AI proponents have proposed to "stop training radiologists now." By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in radiology along with the clinical, financial, technological, and societal perspectives on the role and expected impact of AI in radiology.

Implementation of artificial intelligence (AI) in radiology is an important topic of discussion. Advances in AI—which encompass machine learning, artificial neural networks, and deep learning—are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, certain AI proponents have proposed to "stop training radiologists now." By compiling perspectives from experts from various backgrounds, this book explores the current state of AI efforts in radiology along with the clinical, financial, technological, and societal perspectives on the role and expected impact of AI in radiology.

Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already-stretched human workforce, maximising the potential of a digital future is necessary. This book introduces the concepts and underpinning technology behind recent developments to give a snapshot of the state of the art in the field of digital health and provides information for clinicians at all levels of experience. The reader will gain insight into digital health in general, with clinical, technical and industrial insights providing context to the theory.Key Features Defines the value that Artificial Intelligence (AI) brings to healthcare, resulting in improved clinical diagnosis and decision-making Enables not just imaging staff but other healthcare practitioners to extract the best ways of working with AI using the underpinning knowledge from this text

Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already-stretched human workforce, maximising the potential of a digital future is necessary. This book introduces the concepts and underpinning technology behind recent developments to give a snapshot of the state of the art in the field of digital health and provides information for clinicians at all levels of experience. The reader will gain insight into digital health in general, with clinical, technical and industrial insights providing context to the theory.Key Features Defines the value that Artificial Intelligence (AI) brings to healthcare, resulting in improved clinical diagnosis and decision-making Enables not just imaging staff but other healthcare practitioners to extract the best ways of working with AI using the underpinning knowledge from this text

The field of neurosurgery stands at the precipice of a transformative era, driven by the rapid evolution of artificial intelligence (AI). From optimizing patient selection and surgical parameters to enhancing intraoperative precision, AI has already begun to reshape the landscape of neurosurgical care. Yet, as these technologies advance from preclinical studies to real-world applications, the challenges of responsible integration, evaluation, and safety have become increasingly urgent.This groundbreaking textbook equips neurosurgeons with the foundational knowledge to navigate the complexities of AI in clinical practice. It explores the remarkable progress of AI systems, from machine learning–enhanced neuronavigation to agentic systems capable of autonomous, multi-step workflows. With a focus on real-world clinical data, fairness, and interpretability, the book addresses the critical hurdles of evaluation lag, dataset curation, and regulatory oversight.As AI transitions from passive tools to active participants in medical problem-solving, this text provides a roadmap for neurosurgeons to lead the charge in developing, implementing, and critically assessing these transformative technologies. By bridging the gap between innovation and practice, this book ensures that the next generation of neurosurgeons is prepared to harness the full potential of AI while safeguarding patient care.

The field of neurosurgery stands at the precipice of a transformative era, driven by the rapid evolution of artificial intelligence (AI). From optimizing patient selection and surgical parameters to enhancing intraoperative precision, AI has already begun to reshape the landscape of neurosurgical care. Yet, as these technologies advance from preclinical studies to real-world applications, the challenges of responsible integration, evaluation, and safety have become increasingly urgent.This groundbreaking textbook equips neurosurgeons with the foundational knowledge to navigate the complexities of AI in clinical practice. It explores the remarkable progress of AI systems, from machine learning–enhanced neuronavigation to agentic systems capable of autonomous, multi-step workflows. With a focus on real-world clinical data, fairness, and interpretability, the book addresses the critical hurdles of evaluation lag, dataset curation, and regulatory oversight.As AI transitions from passive tools to active participants in medical problem-solving, this text provides a roadmap for neurosurgeons to lead the charge in developing, implementing, and critically assessing these transformative technologies. By bridging the gap between innovation and practice, this book ensures that the next generation of neurosurgeons is prepared to harness the full potential of AI while safeguarding patient care.

This exciting new text looks at what an AI program can do for an aesthetic practice by way of analyzing a patient’s face and predicting what the results of injection treatments will be; it also looks at other innovations that could improve aesthetic practice with facial soft tissue filler implants, such as injection technique. No practitioner of minimally invasive cosmetic treatments will want to be without access to this glimpse into what the future can hold. Offers an exciting glimpse into what AI can offer facial rejuvenation analysis and prediction with facial soft tissue filler implantsProvides practicing plastic surgeons and cosmetic dermatologists with a practical guide to innovative technologyFills a gap with a topic of much interest for all professionals working in aesthetic medicine

This book presents technical advancements of artificial intelligence (AI)–based technologies and computational biology approaches, highlighting their applications in developing smart healthcare and precision medicine for managing infectious diseases. It discusses cutting-edge AI tools, particularly machine and deep learning models, and generative AI to assist in disease prediction and prevention, disease surveillance and diagnosis, drug discovery, drug design and development, healthcare, personalized medicine, pharmacology, and vaccine development. The contents fit the goal of establishing "Good Health and Well-Being," which is one of the "Sustainable Development Goals (SDGs) 2030."Key Features:• Includes AI/omics approaches in precision medicine and smart healthcare• Summarizes AI-driven drug and vaccine developments and AI tools for infectious disease prevention for clinicians, researchers, and policymakers• Proposes AI-based strategies for disease prediction, surveillance, and diagnosis

This book presents technical advancements of artificial intelligence (AI)–based technologies and computational biology approaches, highlighting their applications in developing smart healthcare and precision medicine for managing infectious diseases. It discusses cutting-edge AI tools, particularly machine and deep learning models, and generative AI to assist in disease prediction and prevention, disease surveillance and diagnosis, drug discovery, drug design and development, healthcare, personalized medicine, pharmacology, and vaccine development. The contents fit the goal of establishing "Good Health and Well-Being," which is one of the "Sustainable Development Goals (SDGs) 2030."Key Features:• Includes AI/omics approaches in precision medicine and smart healthcare• Summarizes AI-driven drug and vaccine developments and AI tools for infectious disease prevention for clinicians, researchers, and policymakers• Proposes AI-based strategies for disease prediction, surveillance, and diagnosis

The use of Artificial Intelligence (AI) in medicine can deliver significant improvements in the delivery of health care. As clinicians learn more about the technology and grow alongside it, so too will new methods of using and analyzing clinical data emerge. Medical education encompasses many levels: medical school, internship, residency, fellowship, and continuing medical education. At each of these levels, AI is, and will, revolutionize the way that health care providers learn, teach, and share information. This book is the first of its kind to explore the potential ways in which AI may specifically transform medical education across the globe.Key Features:Discusses a timely, relevant, hot topic in medical schools and beyondFocuses on AI in medical education that is relevant to trainees and practising clinicians across all specialitiesProves useful for physicians working on continuing medical education activities

The use of Artificial Intelligence (AI) in medicine can deliver significant improvements in the delivery of health care. As clinicians learn more about the technology and grow alongside it, so too will new methods of using and analyzing clinical data emerge. Medical education encompasses many levels: medical school, internship, residency, fellowship, and continuing medical education. At each of these levels, AI is, and will, revolutionize the way that health care providers learn, teach, and share information. This book is the first of its kind to explore the potential ways in which AI may specifically transform medical education across the globe.Key Features:Discusses a timely, relevant, hot topic in medical schools and beyondFocuses on AI in medical education that is relevant to trainees and practising clinicians across all specialitiesProves useful for physicians working on continuing medical education activities

This book presents advancements of artificial intelligence (AI)-based technologies and digital omics, highlighting their applications in developing sustainable healthcare and precision medicine for managing diverse cancers. It presents cutting-edge AI tools, machine and deep learning models, and generative AI, integrated with the Internet of Things (IoT) and robotics to assist in cancer management involving prediction and prevention, diagnosis, drug discovery, drug design and development, smart healthcare, personalized medicine, and pharmacology. This book supports global public health and contributes to the goal of establishing "Good Health and Well-Being," one of "The Sustainable Development Goals (SDGs) 2030."Key Features: Provides AI/omics-driven precision medicine and sustainable management of cancers Summarizes AI-driven drug and vaccine developments with AI tools for infectious disease prevention for clinicians, researchers, and policymakers Proposes AI-based strategies for disease prediction, surveillance, and diagnosis