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Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications


Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications
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Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications


Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications
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Author : Khang, Alex
language : en
Publisher: IGI Global
Release Date : 2024-02-26

Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications written by Khang, Alex and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Medical categories.


Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.



Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications


Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications
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Author : Alex Khang
language : en
Publisher:
Release Date : 2024-03-31

Driving Smart Medical Diagnosis Through Ai Powered Technologies And Applications written by Alex Khang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-31 with Computers categories.


Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape. As scholars grapple with the ongoing advancements in surgical robotics, healthcare smart sensors, and the fusion of IoT and deep learning, this book serves as an indispensable guide. It provides a comprehensive overview of the current challenges but also presents innovative solutions that pave the way for a smarter, sustainable healthcare future. In the realm of data management, big data analytics, and the intersection of cybersecurity and cloud computing, our book offers a holistic perspective, making it an essential companion for scholars seeking to deepen their understanding of the transformative forces shaping the healthcare industry.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21

Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.


Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



Handbook Of Ai Driven Threat Detection And Prevention


Handbook Of Ai Driven Threat Detection And Prevention
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2025-06-12

Handbook Of Ai Driven Threat Detection And Prevention written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Technology & Engineering categories.


In today’s digital age, the risks to data and infrastructure have increased in both range and complexity. As a result, companies need to adopt cutting-edge artificial intelligence (AI) solutions to effectively detect and counter potential threats. This handbook fills the existing knowledge gap by bringing together a team of experts to discuss the latest advancements in security systems powered by AI. The handbook offers valuable insights on proactive strategies, threat mitigation techniques, and comprehensive tactics for safeguarding sensitive data. Handbook of AI-Driven Threat Detection and Prevention: A Holistic Approach to Security explores AI-driven threat detection and prevention, and covers a wide array of topics such as machine learning algorithms, deep learning, natural language processing, and so on. The holistic view offers a deep understanding of the subject matter as it brings together insights and contributions from experts from around the world and various disciplines including computer science, cybersecurity, data science, and ethics. This comprehensive resource provides a well-rounded perspective on the topic and includes real-world applications of AI in threat detection and prevention emphasized through case studies and practical examples that showcase how AI technologies are currently being utilized to enhance security measures. Ethical considerations in AI-driven security are highlighted, addressing important questions related to privacy, bias, and the responsible use of AI in a security context. The investigation of emerging trends and future possibilities in AI-driven security offers insights into the potential impact of technologies like quantum computing and blockchain on threat detection and prevention. This handbook serves as a valuable resource for security professionals, researchers, policymakers, and individuals interested in understanding the intersection of AI and security. It equips readers with the knowledge and expertise to navigate the complex world of AI-driven threat detection and prevention. This is accomplished by synthesizing current research, insights, and real-world experiences.



Digital Technologies And Transformation In Business Industry And Organizations


Digital Technologies And Transformation In Business Industry And Organizations
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Author : Ruben Pereira
language : en
Publisher: Springer Nature
Release Date : 2025-02-01

Digital Technologies And Transformation In Business Industry And Organizations written by Ruben Pereira and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Technology & Engineering categories.


This book covers research methods such as Systematic Literature Review (SLR) or Multifocal Literature Review (MLR), case studies, experiments, surveys, and Design Science Research using quantitative and qualitative approaches. This proposal is the third volume of the already edited and published book “Digital Technologies and Transformation in Business, Industry and Organizations.” Given the nature of this book proposal, linked with some Masters, and the faster pace of digital technologies evolution, the new version will have an entire new content with new cases and insights regarding the development and implementation of the most interesting digital technologies. Digital transformation marks a rethinking of how an organization uses technology, people, and processes in pursuit of new business models and new revenue streams, driven by changes in customer expectations around products and services. For many enterprises that build traditional goods, this means building digital products, such as a mobile application or an e-commerce platform. To do so, they must use and integrate digital technologies. The pace of change is increasing. Organizations need to adapt or risk disappearing under innovators entrance in the market. With new digital technologies growing in an exponential rate in the last few decades, organizations are facing even more complex contexts. Managers are now pressed to take efficient decisions. This book provides a reference manual to assist professionals and academics on further insights regarding: the impact of digital technologies in business, how to implement digital technologies, solutions for specific digital technologies barriers, and much more.



Artificial Intelligence Transformations For Healthcare Applications Medical Diagnosis Treatment And Patient Care


Artificial Intelligence Transformations For Healthcare Applications Medical Diagnosis Treatment And Patient Care
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Author : Murugan, Thangavel
language : en
Publisher: IGI Global
Release Date : 2024-07-22

Artificial Intelligence Transformations For Healthcare Applications Medical Diagnosis Treatment And Patient Care written by Murugan, Thangavel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Medical categories.


Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.



Handbook Of Technological Sustainability


Handbook Of Technological Sustainability
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2024-11-13

Handbook Of Technological Sustainability written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Technology & Engineering categories.


In the context of an ever-changing technological world, it is crucial to prioritize the cultivation of sustainability and environmental consciousness. Adopting an interdisciplinary perspective, this handbook facilitates the integration of technology and sustainability by leveraging insights from many fields such as engineering, environmental science, economics, and sociology. The primary objective of this handbook is to provide a comprehensive analysis of the complex relationship between technology and the environment. Handbook of Technological Sustainability: Innovation and Environmental Awareness includes recent and diverse case studies from a global perspective and demonstrates the utilization of technology to achieve sustainable development across several sectors, such as energy, agriculture, transportation, and urban planning. It explores innovative technologies emphasizing state-of-the-art and developing technologies, including renewable energy, circular economy practices, smart cities, and artificial intelligence-driven sustainability solutions. The handbook also examines the impact of laws, regulations, and international agreements on the advancement or impediment of technological sustainability. Written to be used as a reference, this handbook highlights the ethical and moral quandaries linked to technological sustainability analyzing various topics of significance, including environmental justice, privacy implications in smart technology, and the ramifications of artificial intelligence on employment and society. It provides practical methodologies and recommendations for individuals, enterprises, and governmental entities to adopt and integrate sustainable technologies effectively and furnish readers with a comprehensive guide for transitioning towards a more sustainable future. As it showcases perspectives from technologists, sustainability professionals, and policymakers that have the potential to provide a range of opinions and practical insights derived from real-world experiences, this handbook is a book for all individuals, corporations, governments, researchers, and anyone seeking to harness technology to advance sustainability and effectively tackle the multifaceted issues posed by our dynamic global landscape.



Ai And Quantum Network Applications In Business And Medicine


Ai And Quantum Network Applications In Business And Medicine
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Author : Ananth, Christo
language : en
Publisher: IGI Global
Release Date : 2024-12-19

Ai And Quantum Network Applications In Business And Medicine written by Ananth, Christo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.


Utilizing artificial intelligence (AI) and quantum network applications may revolutionize both business and medicine, offering opportunities for innovation and efficiency. In business, AI tools in data analytics and quantum computing applications help enhance decision-making, optimize supply chains, and unlock avenues for growth through predictive modeling. In medicine, intelligent technologies provide more precise detection and diagnosis, personalize treatment, and improve drug discovery capabilities. Further integration of both tools into business and medicine is necessary to improve outcomes for various sectors and create new approaches to innovation. AI and Quantum Network Applications in Business and Medicine explores the application of artificial intelligence and quantum computing in business and medical industries. Solutions for disease diagnosis, resource allocation, and effective data analysis are presented using tools like machine learning, quantum networking, and intelligent technology. This book covers topics such as medical diagnosis, deep learning, and trauma responses, and is a useful resource for medical professionals, doctors, scientists, computer engineers, business owners, academicians, and researchers.



Accelerating Product Development Cycles With Digital Twins And Iot Integration


Accelerating Product Development Cycles With Digital Twins And Iot Integration
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Author : Mamodiya, Udit
language : en
Publisher: IGI Global
Release Date : 2025-05-08

Accelerating Product Development Cycles With Digital Twins And Iot Integration written by Mamodiya, Udit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Business & Economics categories.


In today's market, accelerating product development cycles helps businesses gain a competitive edge and meet consumer demands. The integration of digital twins and Internet of Things (IoT) technologies has emerged as a transformative solution, enabling organizations to streamline their design, testing, and production processes. Digital twins allow real-time simulation and monitoring, providing valuable insights into performance, potential issues, and design optimizations. When coupled with IoT businesses can gather continuous feedback throughout the product lifecycle. This accelerates innovation, enhances product quality, and minimizes costs by identifying inefficiencies. By leveraging these technologies, companies can optimize their development cycles and deliver smarter, more reliable products to meet the needs of the marketplace. Accelerating Product Development Cycles With Digital Twins and IoT Integration explores the transformative potential of cutting-edge digital twin technologies in advancing data analytics and the Internet of Things (IoT). It provides a comprehensive analysis of how digital twins enable real-time monitoring, predictive insights, and enhanced decision-making by bridging the physical and digital worlds. This book covers topics such as computational engineering, algorithms, and blockchain, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.



Driving Green Transportation System Through Artificial Intelligence And Automation


Driving Green Transportation System Through Artificial Intelligence And Automation
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Author : Alex Khang
language : en
Publisher: Springer Nature
Release Date : 2025-01-11

Driving Green Transportation System Through Artificial Intelligence And Automation written by Alex Khang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Technology & Engineering categories.


This book is designed to help transportation professionals and construction experts to develop and implement successful smart systems, leveraging the current trends, equipment, and advanced technologies to drive the green transportation system development. Artificial intelligence (AI) is a new direction that has opened a revolution in technology and smart applications, and it is also the basis for creating a green environment in the net-zero era. Therefore, machines, devices, self-driving car, and robots controlled by artificial intelligence-based systems are now the model of a smart transportation ecosystem for which all these technologies are referred to as "green" industries. In past years, the idea of making a green environment has been existing and moving on the society 5.0 being as a country strategy, and today, AI technology continues its development on this prototype. Nowadays, AI has begun actions to resemble a person in a real sense, and the idea of human-liked robotics put forward by scientists has started to be realized and will probably complete its development as living machines in the near future. AI has many subsystems and application in various industries, some of which have automation more accurately and are more integrated in modern industries. This book also targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of AI and Industrial Internet of Things (IIoT) in green transportation ecosystem.