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Fostering Healthcare Through Artificial Intelligence


Fostering Healthcare Through Artificial Intelligence
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Fostering Healthcare Through Artificial Intelligence


Fostering Healthcare Through Artificial Intelligence
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Author : Kavita Khare
language : en
Publisher: CRC Press
Release Date : 2025-09-30

Fostering Healthcare Through Artificial Intelligence written by Kavita Khare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Technology & Engineering categories.


In this book, readers can explore the transformative power of artificial intelligence (AI) in reshaping modern healthcare. The book dives deep into how cutting- edge technologies are revolutionizing diagnostics, patient care, and medical research. From the predictive analytics that anticipate disease outbreaks to intelligent systems that enhance clinical decisionmaking, this book reveals how AI technologies are playing a transformative role in healthcare domain. Designed for healthcare professionals and AI enthusiasts, this book presents real- world applications, ethical considerations, and visionary insights from researchers and industry. The book provides readers a comprehensive understanding of AI’s potential to drive meaningful change. This book: Covers high-performance computing field programmable gate array networks for machine learning-based biomedical applications Presents machine learning algorithms for cancer susceptibility, recurrence, and survival prediction Discusses the use of high-performance computing (HPC) in the execution of low-power processors for healthcare devices Demonstrates detailed performance analysis of wearable healthcare devices Highlights the use of Pix2pix generative adversarial networks for mammographically occult breast cancer detection Whether you're navigating the complexities of digital health transformation or simply curious about AI’s role in medicine, Fostering Healthcare through Artificial Intelligence is your essential guide to understanding how technology can foster a healthier, smarter future for all.



Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability


Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability
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Author : Rubee Singh
language : en
Publisher: Springer Nature
Release Date : 2025-01-22

Transforming Healthcare Sector Through Artificial Intelligence And Environmental Sustainability written by Rubee Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.


This book explores the intersection of artificial intelligence (AI) and sustainability in healthcare, focusing on how AI technologies are transforming medical practices while promoting environmentally responsible operations. It examines how AI-driven tools like machine learning and data analysis enhance diagnostic accuracy, streamline treatment planning, and personalize patient care by analysing large datasets, including genetic information. Additionally, the book addresses how AI can support sustainable healthcare practices by optimizing resource usage, such as energy consumption in hospitals, and improving supply chain management to reduce environmental impact. Practical case studies demonstrate how these technologies are being implemented to improve patient outcomes and achieve sustainability goals. The book considers the integration of AI into human resource management within healthcare, discussing AI's role in recruitment, performance management, and employee retention aligned with sustainability objectives. Ethical and regulatory issues surrounding AI adoption, such as data privacy and algorithmic transparency, are thoroughly examined, with an emphasis on creating responsible and equitable AI systems. Designed for healthcare professionals and administrators, this book provides practical strategies and real-world examples of AI implementation in sustainable healthcare, offering a balanced view of the opportunities and challenges ahead.



Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals


Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals
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Author : Arthur Guseni Oliver Mutambara
language : en
Publisher: Springer Nature
Release Date : 2025-07-01

Deploying Artificial Intelligence To Achieve The Un Sustainable Development Goals written by Arthur Guseni Oliver Mutambara and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Technology & Engineering categories.


This book provides research insights into how Artificial Intelligence (AI) can be used to achieve the UN’s Sustainable Development Goals (SDGs) – 17 interconnected goals designed to address the world’s most pressing challenges by 2030. It reviews the SDGs and discusses why progress has been mixed and uneven across different countries, regions and goals. The book posits that attaining the SDGs will depend on enhanced global cooperation, increased funding, improved infrastructure, public-private partnerships, regional/continental integration, addressing the climate crisis, inclusive economic transformation, and visionary leadership. More specifically, the publication advocates leveraging innovative and transformative technologies, particularly the deployment of AI. The research acknowledges the risks of digital imperialism, data colonialism and technological exclusion, especially in emerging and least industrialised economies. Hence, in deploying AI to achieve the SDGs, the book puts a premium on decoloniality in AI systems and democratising AI technology. Provides a critique of the current SDGs approach by reframing the goals as a comprehensive risk assessment of humanity’s most pressing threats in the 21st century; Features broad and holistic interventions to accelerate the attainment of the SDGs; Provides a comprehensive but accessible introduction to AI concepts and advanced innovations such as AlphaFold, ChatGPT-4, DeepSeek-R1, Grok 3, and autonomous vehicles (drones and driverless cars); Discusses the AI strategies of leading economies and assesses the impact of AI on geopolitics; Provides a comprehensive critique of global AI efforts by the UN and African Union, while proffering alternative paradigms and frameworks; Presents the enablers, drivers and strategic framework of AI deployment to achieve the SDGs; Develops and presents details of six distinct but related components of a novel Strategic Framework for developing and adopting AI – Vision, Strategy, Policy, Governance, Legislation/Regulations, and Implementation Matrix; Outlines specific ways that AI can be deployed to achieve each of the 17 SDGs and reviews seven countries’ experiences; Explores an innovative, forward-looking, and technology-driven framework for equitable global socio-economic transformation to succeed the SDGs post-2030.



Explainable Artificial Intelligence In The Healthcare Industry


Explainable Artificial Intelligence In The Healthcare Industry
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-05

Explainable Artificial Intelligence In The Healthcare Industry written by Abhishek Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.


Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.



Artificial Intelligence And Cybersecurity In Healthcare


Artificial Intelligence And Cybersecurity In Healthcare
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Author : Rashmi Agrawal
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-21

Artificial Intelligence And Cybersecurity In Healthcare written by Rashmi Agrawal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.


Artificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas.



Artificial Intelligence In Medicine A Practical Guide For Clinicians


Artificial Intelligence In Medicine A Practical Guide For Clinicians
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Author : Campion Quinn
language : en
Publisher: World Scientific
Release Date : 2024-02-06

Artificial Intelligence In Medicine A Practical Guide For Clinicians written by Campion Quinn and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Medical categories.


'Artificial Intelligence in Medicine' is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses and personalized treatments, while addressing ethical and regulatory considerations.The book examines the practical aspects of AI implementation in clinical practice and emphasizes the human aspect of AI in healthcare and patient engagement. Readers can gain insights into the role of AI in clinical decision support, collaborative learning, and knowledge sharing. It concludes with a glimpse into the future of AI-driven healthcare, exploring the emerging technologies and trends in the rapidly evolving field of AI in medicine.



Artificial Intelligence In Drug Development


Artificial Intelligence In Drug Development
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Author : Kavita Sharma
language : en
Publisher: Springer Nature
Release Date : 2024-05-30

Artificial Intelligence In Drug Development written by Kavita Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Law categories.


This book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.



Artificial Intelligence In Healthcare


Artificial Intelligence In Healthcare
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Author : Daniele Cafolla
language : en
Publisher: Springer Nature
Release Date : 2025-08-19

Artificial Intelligence In Healthcare written by Daniele Cafolla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Mathematics categories.


The two-volume set constitutes the proceedings of the Second International Conference on Artificial Intelligence in Healthcare, AIiH 2025, which took place in Cambridge, UK, in September 2025. The 60 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Health informatics, Personalised Healthcare, Robotics, Assisted Living Technology, Computational Medicine, Long-term Health Conditions, Maternity and Women’s Health and Wellbeing.



Smart Healing Integrating Artificial Intelligence Into Physiotherapy Practices


Smart Healing Integrating Artificial Intelligence Into Physiotherapy Practices
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Author : Ms. Mohammed Sheeba Kauser
language : en
Publisher: Chyren Publication
Release Date : 2024-11-05

Smart Healing Integrating Artificial Intelligence Into Physiotherapy Practices written by Ms. Mohammed Sheeba Kauser and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Antiques & Collectibles categories.




Artificial Intelligence And Social Computing


Artificial Intelligence And Social Computing
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Author : Tareq Z. Ahram
language : en
Publisher: AHFE International
Release Date : 2025-07-26

Artificial Intelligence And Social Computing written by Tareq Z. Ahram and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Technology & Engineering categories.