Determining The Ethical Codes Of Artificial Intelligence Assisted Informed Consent
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Determining The Ethical Codes Of Artificial Intelligence Assisted Informed Consent
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Author : FATIH. AYDIN
language : en
Publisher:
Release Date : 2025
Determining The Ethical Codes Of Artificial Intelligence Assisted Informed Consent written by FATIH. AYDIN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Determining The Ethical Codes Of Artificial Intelligence Assisted Informed Consent
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Author : Fatih Aydin
language : en
Publisher: Ethics International Press
Release Date : 2025-05-14
Determining The Ethical Codes Of Artificial Intelligence Assisted Informed Consent written by Fatih Aydin and has been published by Ethics International Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Computers categories.
Determining the Ethical Codes of Artificial Intelligence-Assisted Informed Consent tackles a pivotal issue: Can artificial intelligence (AI) ethically secure informed consent, and what codes should guide its integration into healthcare? This illuminating book probes the fusion of AI with the bedrock of medical ethics—patient autonomy. As AI transforms diagnostics, treatments, and decision-making, it disrupts traditional consent processes, sparking critical questions about trust, equity, and human agency. This work boldly examines whether machines can responsibly handle the nuanced act of consent and outlines the ethical scaffolding needed to ensure they do. Setting itself apart from broader AI ethics debates, this book hones in on the specifics of AI-assisted consent. It journeys through the history of informed consent, uncovers algorithmic biases that threaten fairness, and crafts precise ethical codes to govern AI’s role in medicine. Drawing on real-world research and case studies, it balances the promise of AI-enhanced care with its ethical pitfalls, offering a clear-eyed look at transparency, accountability, and patient empowerment. More than a critique, it provides a practical blueprint for ethical standards that safeguard human values in an AI-driven era.
Code Blue To Code Ai
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Author : SUDHANSHU TONPE
language : en
Publisher: Shashwat Publication
Release Date : 2024-08-23
Code Blue To Code Ai written by SUDHANSHU TONPE and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-23 with Fiction categories.
The unique selling proposition (USP) of "Code Blue to Code AI" lies in its comprehensive exploration of the transformative impact of artificial intelligence (AI) on the healthcare industry. Authored by Dr. Sudhanshu Tonpe, the book stands out by: Expertise: Dr. Tonpe, an accomplished radiologist, brings his firsthand experience and insights to provide an authoritative perspective on the integration of AI in healthcare. Holistic Coverage: The book covers various facets, including medical diagnostics, drug discovery, patient engagement, and the collaboration between AI and healthcare professionals, offering a well-rounded understanding of the subject. Real-world Examples: By incorporating real-world case studies and examples, the book bridges the gap between theory and practical application, making the content relatable and insightful. Accessible Language: Dr. Tonpe communicates complex concepts in a clear and accessible language, making the book suitable for both healthcare professionals and a broader audience interested in the intersection of medicine and AI. Current Relevance: Given the dynamic nature of healthcare and AI, the book is likely to address contemporary issues and trends, keeping the content relevant and up-to-date. In essence, "Code Blue to Code AI" offers a unique blend of expertise, comprehensive coverage, practical examples, and accessibility, making it a valuable resource for anyone interested in the future of healthcare through the lens of artificial intelligence.
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
Responsible And Explainable Artificial Intelligence In Healthcare
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Author : Akansha Singh
language : en
Publisher: Elsevier
Release Date : 2024-11-14
Responsible And Explainable Artificial Intelligence In Healthcare written by Akansha Singh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-14 with Science categories.
Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection provides clear guidance on building trustworthy Artificial Intelligence systems for healthcare. The book focuses on using Artificial Intelligence to improve diagnosis, prevent diseases, and personalize patient care. It addresses potential drawbacks, like reduced human interaction and ethical concerns, offering solutions for ethical and transparent Artificial Intelligence use in medicine. Across eight chapters, the book explores Artificial Intelligence's current status, its importance, and associated risks in healthcare. It explains designing reliable Artificial Intelligence for healthcare, tackling biases, and safeguarding patient privacy in the age of big data. The legal and regulatory landscape is also covered. One chapter is dedicated to showcasing real-world examples of responsible Artificial Intelligence in healthcare, highlighting best practices. The book concludes by summarizing key takeaways and discussing future challenges. "Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection" is a valuable resource for healthcare professionals, policymakers, computer scientists, and ethicists concerned about Artificial Intelligence's ethical and societal impact on medicine. - Gives insights into the responsible and explainable use of Artificial Intelligence in healthcare and explore the challenges and opportunities for promoting ethical and transparent practices in this field - Offers the solution to strike a balance between patient privacy and data exchange - Provides concrete advice on how to create trustworthy, accountable, and transparent Artificial Intelligence systems - Explains the moral and social effects of Artificial intelligence in healthcare and suggests ways to encourage its ethical application
Navigating The Frontiers Of Healthcare With Artificial Intelligence
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Author : Gaurav Garg
language : en
Publisher: Gaurav Garg
Release Date :
Navigating The Frontiers Of Healthcare With Artificial Intelligence written by Gaurav Garg and has been published by Gaurav Garg this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The integration of Artificial Intelligence (AI) into the realm of healthcare has ushered in a new era of possibilities, redefining the way we diagnose, treat, and manage diseases. This book is a journey into the convergence of these two dynamic fields, aimed at unveiling the transformative power of AI in revolutionizing healthcare delivery and outcomes. From the laboratories to the clinics, AI has emerged as a catalyst of innovation, sparking advances that were once relegated to the realm of science fiction. In this era of unprecedented data availability and computing prowess, AI offers a novel lens through which we can explore and comprehend the intricacies of health and disease. As the pages unfold, readers will embark on an exploration of the myriad ways AI is redefining healthcare—from predictive analytics and personalized medicine to image analysis and patient engagement. Each chapter is a gateway into a different facet of this multidimensional landscape, delving deep into the methodologies, applications, and implications that underpin AI's integration into healthcare systems. Charting the Path Ahead The preface sets the stage for the captivating journey that follows. We introduce the readers to the burgeoning landscape of AI in healthcare, underscoring the significance of this intersection and its potential to reshape the future of medicine. As technology and medical science march hand in hand, AI emerges as the bridge that connects innovation with real-world impact. It is the culmination of data-driven insights and algorithmic precision that holds the promise of advancing patient care, streamlining clinical workflows, and propelling medical research to new horizons. Traversing the Landscape of AI and Healthcare As you delve into each chapter, you'll find a comprehensive exploration of AI's applications in healthcare. From the fundamentals of machine learning to the complexities of predictive analytics and the ethical considerations that underscore the AI revolution, every aspect is carefully dissected. The book is a testament to the collaborative efforts of professionals, researchers, and thought leaders who have harnessed their expertise to unravel the potentials and pitfalls of AI-driven healthcare. Guiding the Way This book is not only an informative companion but also a guiding light for those navigating the uncharted waters of AI in healthcare. Whether you're a seasoned healthcare practitioner, a tech enthusiast, or a curious mind seeking to grasp the intricate details of this paradigm shift, you'll find a wealth of knowledge that equips you with insights and tools for meaningful engagement. Conclusion This book invites you to embark on a journey of discovery, innovation, and transformation. As AI continues to weave its way into the fabric of healthcare, its implications are far-reaching and profound. With this book as your guide, you'll be equipped to traverse the exciting landscape of AI-driven healthcare, gaining insights that will empower you to harness the power of technology in the service of human health and well-being.
Artificial Intelligence For Oral Health Care
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Author : Falk Schwendicke
language : en
Publisher: Springer Nature
Release Date : 2025-03-26
Artificial Intelligence For Oral Health Care written by Falk Schwendicke and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Medical categories.
Artificial intelligence (AI) is reshaping diagnostics, treatment planning, and patient care across diverse disciplines. Dentistry is now at the forefront of this innovation, with AI's ability to process complex data to improve clinical practice, empower patients, and address public health challenges. This richly illustrated book offers a deeper understanding of the foundational concepts of AI, its practical applications in oral health, and the possibilities that lie ahead. From oral pathology to maxillofacial surgery, prosthodontics to orthodontics, and endodontics to dental education, it presents compelling, evidence-based insights into how AI is changing the landscape of dentistry. Beyond its clinical potential, the book tackles the key risks and challenges associated with AI implementation. It provides a thoughtful roadmap for addressing ethical considerations, encouraging transparency, and developing solutions that prioritize both innovation and patient well-being. Written for dental professionals and an interdisciplinary audience, including educators, researchers, policymakers, and the public, this book serves as both a guide and a call to action for responsibly embracing AI's transformative power. Whether you are a seasoned practitioner, an academic, or simply curious about the intersection of AI and healthcare, this book will inspire and inform your journey into the future of dentistry.
Responsible Ai For Digital Health And Medical Analytics
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Author : Soufiene, Ben Othman
language : en
Publisher: IGI Global
Release Date : 2024-12-17
Responsible Ai For Digital Health And Medical Analytics written by Soufiene, Ben Othman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Medical categories.
In recent years, the healthcare industry has witnessed a rapid integration of artificial intelligence (AI) into various aspects of patient care, diagnosis, treatment, and management. The promise of improved efficiency, accuracy, and personalized healthcare has spurred the development and adoption of AI technologies. However, this rapid advancement has brought forth numerous ethical challenges, privacy concerns, and the need for responsible governance. The increasing reliance on AI in medical analytics raises questions about patient data privacy, algorithmic bias, transparency, and the overall impact on the doctor-patient relationship. The urgency to balance innovation with ethical considerations is underscored by high-profile incidents of AI system failures, biased algorithms, and potential risks to patient safety. As technology advances, further research is necessary to showcase the possibilities of AI while navigating the complexities of responsible implementation. Responsible AI for Digital Health and Medical Analytics explores the transformative potential of AI while placing a crucial emphasis on responsible and ethical practices. It decodes complex medical analytics and examines patient privacy solutions to overcome ethical challenges. This book covers topics such as blockchain, medical diagnosis and prediction, and personalized medicine, and is a useful resource for healthcare professionals, policymakers, data scientists, computer engineers, academicians, and researchers.
Artificial Intelligence In Workplace Health And Safety
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Author : Mohammad Yazdi
language : en
Publisher: CRC Press
Release Date : 2024-10-30
Artificial Intelligence In Workplace Health And Safety written by Mohammad Yazdi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Technology & Engineering categories.
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.
Computer Assisted Experiment Design In Psychology
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Author : St. Clements University Academic Staff - Türkiye
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Computer Assisted Experiment Design In Psychology written by St. Clements University Academic Staff - Türkiye and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Computer-Assisted Experiment Design in Psychology The Need for Efficient Experiment Design Understanding Experiment Design Challenges Limitations of Traditional Experiment Design Methods Introducing Computer-Assisted Experiment Design Benefits of Computer-Assisted Experiment Design Improved Statistical Power and Precision Enhanced Experimental Control and Validity Reduced Time and Resources for Experiment Execution Optimized Participant Recruitment and Allocation Key Considerations in Computer-Assisted Experiment Design Experimental Variables and Hypotheses Identifying Independent and Dependent Variables Establishing Appropriate Control Conditions Minimizing Confounding Factors Designing Data Collection Protocols Selecting Appropriate Outcome Measures Ensuring Ethical Considerations Leveraging Computational Algorithms in Experiment Design Factorial Designs and Response Surface Methodology Adaptive Designs and Sequential Experimentation Bayesian Optimization and Adaptive Randomization Machine Learning Approaches in Experiment Design Case Studies in Computer-Assisted Experiment Design Improving Clinical Trial Design and Efficiency Enhancing Behavioral Intervention Studies Optimizing User Experience Research Integrating Computer-Assisted Design with Existing Workflows Overcoming Challenges and Limitations Ensuring Reproducibility and Transparency Addressing Regulatory Concerns and Best Practices Ethical Considerations in Automated Experiment Design Training and Upskilling Researchers Collaboration between Researchers and Computer Scientists The Future of Computer-Assisted Experiment Design Emerging Trends and Innovations Integrating with Artificial Intelligence and Machine Learning Enhancing Interdisciplinary Collaboration Expanding Applications beyond Psychology Ensuring Responsible and Equitable Implementation Conclusion: Unlocking the Potential of Computer-Assisted Experiment Design