Clinical Practice And Unmet Challenges In Ai Enhanced Healthcare Systems
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Clinical Practice And Unmet Challenges In Ai Enhanced Healthcare Systems
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Author : Haipeng Liu
language : en
Publisher: Medical Information Science Reference
Release Date : 2024
Clinical Practice And Unmet Challenges In Ai Enhanced Healthcare Systems written by Haipeng Liu and has been published by Medical Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
As the demand for advanced technologies to revolutionize patient care intensifies, the medical industry faces a pressing need to confront challenges hindering the assimilation of AI-enhanced healthcare systems. Issues such as data interoperability, ethical considerations, and the translation of AI advancements into practical clinical applications pose formidable hurdles that demand immediate attention. It is within this context of challenges and opportunities that the book, Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems promises to pave the way for a transformative era in healthcare. The book serves as a comprehensive guide for academic scholars, researchers, and healthcare professionals navigating the dynamic landscape of data-driven, AI-enhanced healthcare. By showcasing the latest advancements, the book empowers its readers to not only comprehend the existing frontiers in data sciences and healthcare technologies but also to actively contribute to overcoming obstacles. Through detailed case studies and practical guidance, the publication equips its audience with the skills necessary to implement AI in various clinical settings. This book targets a diverse audience including data scientists, software engineers, clinicians, researchers, academics, and students. By fostering collaboration and knowledge exchange, the book emerges as a driving force for collective progress in the integration of artificial intelligence and new technologies into healthcare. Policymakers, too, stand to gain valuable insights, enabling them to update technical standards, clinical guidelines, and regulations, thereby optimizing the distribution of medical resources in the realm of data-driven healthcare. From quantum-enhanced machine learning to ethical considerations in AI-enhanced data-driven healthcare systems, the book stands as a rallying call for the healthcare community to overcome challenges, propelling us towards a future where artificial intelligence integrates with advanced technologies to redefine healthcare paradigms.
Clinical Practice And Unmet Challenges In Ai Enhanced Healthcare Systems
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Author : Liu, Haipeng
language : en
Publisher: IGI Global
Release Date : 2024-08-05
Clinical Practice And Unmet Challenges In Ai Enhanced Healthcare Systems written by Liu, Haipeng 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.
As the demand for advanced technologies to revolutionize patient care intensifies, the medical industry faces a pressing need to confront challenges hindering the assimilation of AI-enhanced healthcare systems. Issues such as data interoperability, ethical considerations, and the translation of AI advancements into practical clinical applications pose formidable hurdles that demand immediate attention. It is within this context of challenges and opportunities that the book, Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems promises to pave the way for a transformative era in healthcare. The book serves as a comprehensive guide for academic scholars, researchers, and healthcare professionals navigating the dynamic landscape of data-driven, AI-enhanced healthcare. By showcasing the latest advancements, the book empowers its readers to not only comprehend the existing frontiers in data sciences and healthcare technologies but also to actively contribute to overcoming obstacles. Through detailed case studies and practical guidance, the publication equips its audience with the skills necessary to implement AI in various clinical settings.
Integrating Ai With Haptic Systems For Smarter Healthcare Solutions
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Author : Mamodiya, Udit
language : en
Publisher: IGI Global
Release Date : 2025-05-09
Integrating Ai With Haptic Systems For Smarter Healthcare Solutions 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 2025-05-09 with Medical categories.
The convergence of artificial intelligence (AI) and haptics in the context of healthcare applications is useful for advancing the healthcare field. Through cutting-edge research, AI can be used for sensing systems and feedback technologies. Ultimately, it can be applied to advance rehabilitation robotics and telesurgery. As a result, real-world implementations of AI may revolutionize medical robots, diagnostics, and patient care. Thus, the convergence of AI and haptics is crucial for inspiring future collaboration and fostering global progress in healthcare technologies. Integrating AI With Haptic Systems for Smarter Healthcare Solutions advances the knowledge base in the rapidly evolving fields of medical robotics and haptic technologies. By addressing key challenges such as precision, security, and energy efficiency, it drives innovation in healthcare, improves patient outcomes, and contributes to interdisciplinary advancements across AI, robotics, and medicine. Covering topics such as augmented sensory perception, neuro feedback, and patient-centric healthcare systems, this book is an excellent resource for biomedical engineers, healthcare technologists, clinicians, surgeons, policymakers, professionals, researchers, scholars, academicians, and more.
Utilizing Ai Of Medical Things For Healthcare Security And Sustainability
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Author : Ouaissa, Mariyam
language : en
Publisher: IGI Global
Release Date : 2025-04-11
Utilizing Ai Of Medical Things For Healthcare Security And Sustainability written by Ouaissa, Mariyam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Medical categories.
The integration of AI and IoT in healthcare, particularly through the Internet of Medical Things (IoMT), is revolutionizing medical care by enhancing efficiency and personalization. These technologies enable more accurate patient monitoring, streamlined healthcare delivery, and customized treatment plans that address individual needs. With the ability to analyze vast amounts of patient data in real-time, AIoMT is improving diagnostics, outcomes, and the overall patient experience. This transformation holds significant potential to reduce healthcare costs, alleviate the burden on traditional systems, and improve overall public health. By fostering smarter healthcare practices, AIoMT is helping to shape a more responsive, efficient, and accessible medical landscape. Utilizing AI of Medical Things for Healthcare Security and Sustainability explores the transformative role of AI and IoMT in modern healthcare. It delves into how AI-driven technologies and smart medical devices are revolutionizing patient care through real-time monitoring, predictive analytics, and personalized treatment plans. Covering topics such as autonomous vehicles, disease prediction, and wearable health technology, this book is an excellent resource for researchers, healthcare professionals, academicians, technologists, and more.
Ai In Mental Health Innovations Challenges And Collaborative Pathways
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Author : Efstratopoulou, Maria
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Ai In Mental Health Innovations Challenges And Collaborative Pathways written by Efstratopoulou, Maria and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Psychology categories.
Artificial intelligence (AI) rapidly emerges as a transformative force in the field of mental health, offering innovative tools for early diagnosis, personalized treatment, and access to care. From AI-powered chatbots to machine learning algorithms, these technologies have the potential to enhance mental health services and bridge gaps in the healthcare system. However, the integration of AI into mental health care presents significant challenges, including concerns over privacy, the accuracy of diagnostic tools, potential biases in algorithms, and the ethical implications of machine-assisted therapy. Addressing these issues requires a collaborative approach to ensure AI is implemented in safe, equitable, and supportive ways. AI in Mental Health: Innovations, Challenges, and Collaborative Pathways explores the transformative role of AI in reshaping educational practices and mental health support systems. It addresses the intersection of AI-driven innovations in learning environments, mental health interventions, and how these advancements present both opportunities and challenges for educators, health professionals, and policymakers. This book covers topics such as data management, social-emotional learning, and curriculum development, and is a useful resource for educators, engineers, medical professionals, academicians, researchers, and data scientists.
Convergence Of Internet Of Medical Things Iomt And Generative Ai
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Author : Kumar, V. Vinoth
language : en
Publisher: IGI Global
Release Date : 2025-02-05
Convergence Of Internet Of Medical Things Iomt And Generative Ai written by Kumar, V. Vinoth and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. Generative AI revolutionizes global health in areas like medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.
Next Generation Therapeutics Using Internet Of Things And Machine Learning
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Author : Shuaib, Mohammed
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Next Generation Therapeutics Using Internet Of Things And Machine Learning written by Shuaib, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.
Cases On Ai Driven Solutions To Environmental Challenges
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Author : Tariq, Muhammad Usman
language : en
Publisher: IGI Global
Release Date : 2025-01-24
Cases On Ai Driven Solutions To Environmental Challenges written by Tariq, Muhammad Usman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Computers categories.
Artificial intelligence (AI) has emerged as a powerful tool in addressing pressing environmental challenges. From climate change and biodiversity loss to pollution and resource management, AI-driven solutions transform how we understand and mitigate environmental risks. By utilizing vast amounts of data, AI technologies can optimize energy consumption, predict climate patterns, track deforestation, and identify areas for conservation, while enhancing the efficiency of renewable energy systems and waste management strategies. These innovations offer improved approaches to environmental conservation while providing valuable insights for policymakers and businesses looking to adopt sustainable practices. As AI continues to evolve, its potential to drive meaningful changes in environmental sustainability improves, and further exploration of these solutions may build a more resilient and sustainable future. Cases on AI-Driven Solutions to Environmental Challenges explores the transformative role of AI in promoting sustainability across various fields. It delves into case studies that demonstrate innovative applications of AI in addressing environmental challenges, improving resource efficiency, and fostering sustainable development. This book covers topics such as data science, green chemistry, and sustainable development, and is a useful resource for environmental scientists, computer engineers, conservationists, academicians, and researchers.
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans
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Author : S., Balasubramaniam
language : en
Publisher: IGI Global
Release Date : 2025-03-28
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans written by S., Balasubramaniam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Medical categories.
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Enhancing Automated Decision Making Through Ai
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Author : Hai-Jew, Shalin
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Enhancing Automated Decision Making Through Ai written by Hai-Jew, Shalin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.
Computational capabilities bring with them the advantages of cold logic, precision, speed, data omniscience, mass data processing capabilities, multimodality, enriched deployments, and efficiencies. With these many advantages, people seek to offload work to machines. Now with the major advances in artificial intelligence, humanity is moving closer to handing over complex decision-making to machines, without humans in the direct loop. Enhancing Automated Decision-Making Through AI explores the processes of designing and deploying systems for automated decision-making. It also considers the implications of automated decision-making informed by AI, which can be unpredictable. Covering topics such as agriculture, disaster detection, and tumor detection, this book is an excellent resource for engineers, systems designers, instructors, graduate and postgraduate students, and more.