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Monga K: AI/ML for Healthcare

AI/ML for Healthcare

Navigating the AI/ML Maze Responsibly, Securely, and Sustainably

Radiologie und Betriebswirtschaft – Steuern, Optimieren, TransformierenAlle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. 

Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive. Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch spricht die Berufsgruppen leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Alle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive.&nbsp;Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch&nbsp;spricht&nbsp;die Berufsgruppen&nbsp;leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Controlling, Qualitätsmanagement, Digitalisierung

Management in der Radiologie

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual’s capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art, Machine Learning and the Stakes for Art Criticism

Routledge Research in Employment Relations

This edited volume brings together empirical studies of gender and employment in the local government sector - around the world - and the ways in which gender plays a role in the recent restructuring of local government in industrialized democracies. Theoretically rich and informed by contemporary gender theory and critical management studies, this volume will appeal to those interested in the subject of gender and local government employment as well as gender and critical management scholars.

Brings together empirical studies of gender and employment in the local government sector and the ways in which gender plays a role in the restructuring of local government in industrialized democracies. This book is suitable for those interested in the subject of gender and local government employment and gender and critical management scholars.

Gender and Employment in the Local Government Sector

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Develop the skills to stop AI-powered cyberattacks and leverage AI to improve your existing cybersecurity strategies.

Use AI to Protect Your Organization

Artificial Intelligence in Cybersecurity

Ai, Memristors And Nonlinear Dynamics

This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.

Artificial Intelligence And Quantum Dynamics For Memristor-system Computing

Autonomous Cyber Resilience

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Precision Health and Medicine (PHM) represents a paradigm shift in healthcare, integrating interdisciplinary approaches to individualized patient care. The book is divided into three parts. Part I lays the groundwork, distinguishing PHM from traditional medicine and highlighting the roles of the various 'omics' disciplines as well as data science/artificial intelligence in PHM. In Part II, the focus shifts to specific applications of PHM, showcasing its therapeutical potential across diverse medical domains. Part III is forward-looking, considering social, ethical and legal issues in the implementation of PHM. It also reflects on the future of PHM, speculating on developments and challenges while outlining pathways for clinicians to integrate precision approaches into practice. We hope this book can serve as a reference guide to introduce healthcare practitioners to what PHM is, why PHM is important, where PHM can be applied, and how PHM will affect clinical medicine.

Precision Medicine For Health Practitioners

Understand the transformative impact of data and artificial intelligence on the global travel and tourism industry and how to leverage these innovations within travel businesses

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

The food we eat can have an important influence on our skin, nails, and hair, but there is surprisingly little to guide the medical professional through what reputable scientific research has established and how best to advise a patient interested in the topic. Recent research has also challenged many previous ideas, which can add to a general air of uncertainty. This succinct text guides the physician through the many controversies and summarizes what can be recommended.

The food we eat can have an important influence on our skin, nails, and hair, but there is surprisingly little to guide the medical professional through what reputable scientific research has established and how best to advise a patient interested in the topic. Recent research has also challenged many previous ideas, which can add to a general air of uncertainty. This succinct text guides the physician through the many controversies and summarizes what can be recommended.

Diet and Dermatology

AI/ML for Healthcare

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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