AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
Competence and Vulnerability in Biomedical Research
In this book, the author develops a novel justificatory framework for making judgments of decisional competence to consent to biomedical research with reference to five groups of cognitively vulnerable individuals - older children and adolescents, adults with intellectual disabilities, adults with depression, adults with schizophrenia and adults with dementia, including Alzheimer’s disease.
Anaesthesia, pain, intensive care and emergency medicine A.P.I.C.E. ; Proceedings of the 21st Postgraduate Course in Critical Medicine: Venice-Mestre, Italy - November 10-13, 2006
Developing sectors in the Intensive Care field – and in Critical Care Medicine in general – require specific levels of competence having a same common denominator: an in-depth knowledge of human pathophysiology. Although this volume presents plenty of topics in constant evolution, as witnessed by the collection of chapters compiled by several researchers, this edition includes, in particular, fields in which decision-making at the patient’s bedside prevails over theoretical argumentation. In other words, the first and foremost message this edition wants to provide is for the reader to focus his/her attention on evidence-based medicine.
Asylum Matters : On the Front Line of Administrative Decision-Making
This book examines everyday practices in an asylum administration. Asylum decisions are often criticised as being ‘subjective’ or ‘arbitrary’. Asylum Matters turns this claim on its head.
Anticipatory Behavior in Adaptive Learning Systems : From Brains to Individual and Social Behavior
Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems.The introductory chapter of this volume therefore does not only provide an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. During the workshop it became clear that ant- ipations are involved in various cognitive processes that range from individual anticipatory mechanisms to social anticipatory behavior.
Algorithms for Decision Making
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.
AI, data, and digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers
Artificial Intelligence, Big Data and Digitalization allow us more than ever beforeto make use of the data our society and public and private sectors generate every day.Institutions around the world are increasingly turning to such methods and technologiesto help them solve complex problems, promote efficiency and improve performance anddecision-making.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Complete denture prosthodontics : Planning and decision-making
Equips dental students and practitioners with all the information and guidance required in order to ensure successful implementation of complete denture treatment in edentulous patients following appropriate treatment planning.
Bone augmentation by anatomical region : Techniques and decision-making
It's a unique, evidence-based guide focusing on each specific anatomical region – anterior maxilla, posterior maxilla, anterior mandible, and posterior mandible – in order to emphasize the correct implemented procedures needed to successfully perform oral osseous reconstruction.
Apical periodontitis in root-filled teeth : Endodontic retreatment and alternative approaches
A comprehensive guide to apical periodontitis in root-filled teeth that covers not only all aspects of diagnosis and management but also epidemiology, etiology, consequences, clinical decision-making, and prognosis. There is a particular focus on the available surgical and nonsurgical methods of retreatment designed to restore healthy periapical conditions.
Advanced CBCT for Endodontics : Technical Considerations, Perception, and Decision-Making
This book encourages endodontists to develop a sound technical and theoretical understanding of CBCT. The authors compare the capabilities of modern CBCT imaging with traditional radiography and also present vital information about image interpretation and perception to increase competence and confidence in CBCT interpretation and minimize overdiagnosis and subsequent overtreatment.
3D Printing in Oral Health Science : Applications and Future Directions
Equips readers with a sound understanding of contemporary clinical applications in all fields of dentistry and their future directions. In the last few years, the development of 3D printing for medical and dental applications has increased tremendously. Advancements in 3D printing create the possibility of customized products, savings on small-scale productions, ease of sharing and processing of patient image data, and educational up-gradation. Looking at the dental specialties, it is evident that 3D printing has applications in all aspects of oral health science including prosthodontics, oral surgery, periodontics, endodontics, and orthodontics. This book will cover all major fields in dentistry and will help the practitioner in the process of decision-making and apply concepts in clinical or laboratory practice. It is based on current scientific evidence to provide readers with an up-to-date contemporary underst
Application of multi-criteria decision analysis in environmental and civil engineering
Provides a resource for students and researchers that includes current application of a multi-criteria, decision-making theory in various fields such as: environment, healthcare and engineering.
Marketing effectiveness : Applying marketing science for brand growth
Contrary to popular belief marketing effectiveness is not just about the measuring of ROI. The lens of effectiveness must be applied to all marketing mix elements, from strategy to pricing and product, to media and advertising. It's a strategic shift that demands robust evidence-based decisions and consistent application in order to grow. Written by leading marketing practitioner, Sorin Patilinet, this book enables mid-senior level marketers to integrate the scientific methods and advanced measurements required for true marketing effectiveness into their marketing strategies, in order to reap the benefits of strong customer understanding and developing decision-making processes for growth. Covering everything from neuroscience and its application to marketing to advanced analytics and machine learning models, this book provides a comprehensive practical guide for marketers.
Market engineering : Insights from two decades of research on markets and information
This book provides a broad range of insights on market engineering and information management. It covers topics like auctions, stock markets, electricity markets, the sharing economy, information and emotions in markets, smart decision-making in cities and other systems, and methodological approaches to conceptual modeling and taxonomy development.
Managing the Digital Transformation : Aligning Technologies, Business Models, and Operations
Provides the key technologies involved in an organization’s digital transformation. It offers a deep understanding of the key technologies (Blockchain, AI, Big Data, IoT, etc.) involved and details the impact, the decision-making process, and the interplay between technologies, business models, and operations.
Managing Corporate Brands : A new approach to corporate communication
Marcos Ormeño introduces both behavioural science theory and decision analysis into corporate brand management using corporate communication. He develops a managerial decision-making model that outdoes existing approaches for selecting communication tools due to its high degree of formalisation and its strong behavioural basis. An illustrative study supports the author's model and shows the importance of communication in building a corporate brand.
Large-scale group decision-making : State-to-the-art clustering and consensus paths
The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters’ opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers.
Its Not About the Technology : Developing the Craft of Thinking for a High Technology Corporation
This book is not about a new concept, or a new technique. It tackles the big questions of how to develop the craft of the thinking that is required of us in high technology companies. It is predicated on a radical notion that, even though the problematic is the execution in a high technology corporation, neither a high level market strategy nor the kind of technology itself matters, insofar as learning the craft of execution goes. How marketers and engineers comprehend a context uniquely shapes the ways they interact, engage in decision-making phenomenon, and eventually their execution performance in a company. The breakdown of their interaction occurs when the individual contexts of a marketer and an engineer are permanently secluded from one another.this book methodically demystifies the key to successful execution in the high technology space



















