Integrating Generative Ai In Medical Practice
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Integrating Generative Ai In Medical Practice
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Author : Zoey Sorensen
language : en
Publisher: NuovoNova Ltd.
Release Date : 2025-06-16
Integrating Generative Ai In Medical Practice written by Zoey Sorensen and has been published by NuovoNova Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Medical categories.
What if the doctor of the future wasn't just human, but also algorithmic? Integrating Generative AI in Medical Practice is your essential roadmap to the most transformative shift in modern medicine. As artificial intelligence redefines diagnostics, treatment planning, and patient communication, healthcare professionals must decide: adapt or fall behind. This timely and practical guide unveils how agentic AI systems—powered by generative AI systems like GPT-4, large language models, and real-time automation—are already reshaping workflows, reducing clinician burnout, improving patient satisfaction, and boosting diagnostic precision. You'll discover how leading hospitals leverage AI to reduce administrative overload, enhance safety, and streamline operations from radiology labs to rural telehealth platforms. Authors Zoey Sorensen and Marc Stanford provide a clear and actionable framework for clinicians, administrators, technologists, and policymakers to responsibly adopt AI while upholding the values of trust, empathy, and ethical care. Backed by real-world case studies, legal and regulatory insights, and step-by-step implementation blueprints, this book is not just a reflection on what's possible but a call to lead the future of healthcare transformation. Highly recommended for: * Healthcare Professionals, Medical Administrators & Executives * Digital Health Innovators, AI Developers, and Students of Neuroscience * Policymakers, Entrepreneurs, Regulators, and Educators shaping the future of medicine Join the movement toward a safer, smarter, and more human-centric healthcare system—powered by AI.
Integrating Generative Ai In Education To Achieve Sustainable Development Goals
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Author : Doshi, Ruchi
language : en
Publisher: IGI Global
Release Date : 2024-06-03
Integrating Generative Ai In Education To Achieve Sustainable Development Goals written by Doshi, Ruchi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Education categories.
A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AI’s rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.
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
Application Of Generative Ai In Healthcare Systems
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Author : Azadeh Zamanifar
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Application Of Generative Ai In Healthcare Systems written by Azadeh Zamanifar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Medical categories.
Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
Artificial Intelligence In Microbial Research
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Author : Babita Pandey
language : en
Publisher: Springer Nature
Release Date : 2025-05-21
Artificial Intelligence In Microbial Research written by Babita Pandey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Science categories.
This book explores the convergence of microbiology and artificial intelligence (AI) and delves into the intricate world of microbial systems enhanced by cutting-edge AI technologies. The book begins by establishing a foundation in the fundamentals of microbial ecosystems and AI principles. It elucidates the integration of AI in microbial genomics, demonstrating how advanced algorithms analyze genomic data and contribute to genetic engineering. Bioinformatics and computational microbiology are explored, showcasing AI's role in predictive modeling and computational tools. The intersection of AI and microbial applications extends to drug discovery, precision agriculture, and pathogen detection. Readers gain insights into AI-driven drug development, the optimization of agricultural practices using microbial biostimulants, and early warning systems for crop diseases. The book highlights AI's role in microbial biotechnology, elucidating its impact on bioprocessing, fermentation, and other biotechnological applications. Climate-smart agriculture and microbial adaptations to environmental challenges are discussed, emphasizing sustainable practices. This book caters to a diverse audience including teachers, researchers, microbiologist, computer bioinformaticians, plant and environmental scientists. The book serves as additional reading material for undergraduate and graduate students of computer science, biomedical, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers to be a useful to read.
Transforming Patientcentric Ecosystems Through Integrated Healthcare Intelligence And Digital Infrastructure
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Author : Karthik Chava
language : en
Publisher: BUDHA PUBLICATION
Release Date :
Transforming Patientcentric Ecosystems Through Integrated Healthcare Intelligence And Digital Infrastructure written by Karthik Chava and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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How Generative Ai Shapes The Finance World
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Author : Marc Stanford
language : en
Publisher: NuovoNova Ltd.
Release Date : 2025-07-14
How Generative Ai Shapes The Finance World written by Marc Stanford and has been published by NuovoNova Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Business & Economics categories.
The financial world is being rewritten by intelligent code. Are you ready to lead, or will you be left behind? HOW GENERATIVE AI SHAPES THE FINANCE WORLD reveals how AI agents are transforming every corner of the financial ecosystem—from real-time stock trades and ETF strategies to cryptocurrency security and cross-border payments. This cutting-edge guide demystifies the power of generative AI, offering actionable insights for investors, fintech professionals, developers, and executives navigating the rapidly evolving digital finance landscape. Whether you're intrigued by AI-powered trading bots, curious about algorithmic ETF arbitrage, or looking to secure your crypto portfolio with machine learning, this book delivers: A deep dive into the AI mechanisms powering modern finance—from neural networks and reinforcement learning to Python-based modeling and cloud infrastructure. Real-world use cases across Stock Markets, FOREX, Commodities, ETFs, and Cryptocurrency—with sample workflows, execution tactics, and risk management frameworks. Expert strategies for integrating AI into legacy systems and adapting to ever-evolving compliance and regulatory mandates. A forward-looking analysis of emerging technologies—like quantum finance, graph neural networks, and autonomous agents—and their impact on financial markets. Best practices for navigating ethical dilemmas, cybersecurity threats, and talent transformation in the age of intelligent automation. Written for professionals across finance, fintech, data science, and compliance, this comprehensive volume is your blueprint for understanding, implementing, and profiting from AI agents in financial services. Discover how generative AI is not just augmenting finance—it's redefining it.
Harnessing Ai And Machine Learning For Precision Wellness
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Author : Ghosh, Joyeta
language : en
Publisher: IGI Global
Release Date : 2025-03-05
Harnessing Ai And Machine Learning For Precision Wellness written by Ghosh, Joyeta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Computers categories.
Advancements in artificial intelligence and machine learning are reshaping healthcare by enabling highly personalized wellness strategies tailored to individual needs. By analyzing vast datasets, including genetic, biometric, and lifestyle information, these technologies can predict disease risks, optimize treatment plans, and recommend proactive health interventions. Precision wellness moves beyond traditional healthcare models, offering dynamic, adaptive solutions that evolve with new scientific discoveries. This shift has the potential to reduce healthcare costs, alleviate the burden on medical systems, and improve overall health outcomes. However, ethical considerations, data privacy, and equitable access remain crucial challenges in realizing the full benefits of AI-driven healthcare. Harnessing AI and Machine Learning for Precision Wellness demystifies the complex world of AI and machine learning in healthcare, exploring how these technologies are being applied across various aspects of wellness. It delves into the mathematical foundations that underpin these technologies, examines real-world case studies, and discusses the ethical considerations that must guide their implementation. This book covers topics such as mathematics, mental health, and preventive care, and is a useful resource for medical and healthcare professionals, computer engineers, data scientists, psychologists, academicians, and researchers.
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Ai Healthcare Applications And Security Ethical And Legal Considerations
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Author : Singla, Babita
language : en
Publisher: IGI Global
Release Date : 2024-08-05
Ai Healthcare Applications And Security Ethical And Legal Considerations written by Singla, Babita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Medical categories.
Artificial Intelligence (AI) technology has led to the creation of many opportunities in the field of healthcare. Like other industries, stakeholders in the healthcare sector stand to benefit tremendously from its adoption. The multifaceted benefits associated with AI are something that makes the adoption of technology constructive for the sector. That said, it is equally important to take care of the ethical, security, and safety challenges related to AI applications. AI Healthcare Applications and Security, Ethical, and Legal Considerations discusses in detail the various facets of AI integration in the healthcare sector. This book offers comprehensive information on how to integrate AI into the healthcare sector safely and ethically. Covering topics such as cybersecurity, machine learning models, and public policy, this book is an excellent resource for healthcare professionals and administrators, researchers, ethicists, legal scholars, healthcare policy makers and regulators, medical informatics and IT professionals, educators, bioethics professionals, academicians, and more.