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Revolutionising Clinical Trials With Ai
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Book Synopsis Revolutionising Clinical Trials with AI by : Timothy Davey
Download or read book Revolutionising Clinical Trials with AI written by Timothy Davey and published by Timothy Davey. This book was released on 2023-02-06 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has been transforming various industries and sectors and is now changing the landscape of clinical trials. Clinical trials are a critical part of the drug development process and play a vital role in determining the safety and efficacy of new treatments and drugs.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Revolutionizing the Healthcare Sector with AI by : Singla, Babita
Download or read book Revolutionizing the Healthcare Sector with AI written by Singla, Babita and published by IGI Global. This book was released on 2024-07-26 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use. Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare.
Book Synopsis Artificial Intelligence in Healthcare: Transforming the Medical Industry by : Michael Roberts
Download or read book Artificial Intelligence in Healthcare: Transforming the Medical Industry written by Michael Roberts and published by Richards Education. This book was released on with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline clinical operations, and accelerate medical research. "Artificial Intelligence in Healthcare: Transforming the Medical Industry" is your comprehensive guide to understanding and leveraging AI technologies in the medical field. This book explores the various applications of AI in healthcare, from diagnostic tools and personalized medicine to administrative efficiency and patient management. With detailed case studies, expert insights, and practical advice, this handbook is an essential resource for healthcare professionals, technology enthusiasts, and industry leaders. Embrace the future of healthcare and discover how AI can transform the way we diagnose, treat, and manage diseases.
Book Synopsis Artificial Intelligence in Clinical Practice by : Chayakrit Krittanawong
Download or read book Artificial Intelligence in Clinical Practice written by Chayakrit Krittanawong and published by Elsevier. This book was released on 2023-09-29 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI
Book Synopsis Artificial Intelligence for Health 4.0: Challenges and Applications by : Rishabha Malviya
Download or read book Artificial Intelligence for Health 4.0: Challenges and Applications written by Rishabha Malviya and published by CRC Press. This book was released on 2023-03-10 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.
Book Synopsis The AI Revolution in Medicine by : Peter Lee
Download or read book The AI Revolution in Medicine written by Peter Lee and published by Pearson. This book was released on 2023-04-14 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is about to transform medicine. Here's what you need to know right now. ''The development of AI is as fundamental as the creation of the personal computer. It will change the way people work, learn, and communicate--and transform healthcare. But it must be managed carefully to ensure its benefits outweigh the risks. I'm encouraged to see this early exploration of the opportunities and responsibilities of AI in medicine.'' --Bill Gates Just months ago, millions of people were stunned by ChatGPT's amazing abilities -- and its bizarre hallucinations. But that was 2022. GPT-4 is now here: smarter, more accurate, with deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies -- stat. What can they do? What can't they do -- yet? What shouldn't they ever do? To decide, experience the cutting edge for yourself. Join three insiders who've had months of early access to GPT-4 as they reveal its momentous potential -- to improve diagnoses, summarize patient visits, streamline processes, accelerate research, and much more. You'll see real GPT-4 dialogues -- unrehearsed and unfiltered, brilliant and blundering alike -- all annotated with invaluable context, candid commentary, real risk insights, and up-to-the-minute takeaways. Preview a day in the life of a doctor with a true AI assistant. See how AI can enhance doctor-patient encounters at the bedside and beyond. Learn how modern AI works, why it can fail, and how it can be tested to earn trust. Empower patients: improve access and equity, fill gaps in care, and support behavior change. Ask better questions and get better answers with "prompt engineering." Leverage AI to cut waste, uncover fraud, streamline reimbursement, and lower costs. Optimize clinical trials and accelerate cures with AI as a research collaborator. Find the right guardrails and gain crucial insights for regulators and policymakers. Sketch possible futures: What dreams may come next? There has never been technology like this. Whether you're a physician, patient, healthcare leader, payer, policymaker, or investor, AI will profoundly impact you -- and it might make the difference between life or death. Be informed, be ready, and take charge -- with this book.
Book Synopsis Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications by : Kaushik, Keshav
Download or read book Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications written by Kaushik, Keshav and published by IGI Global. This book was released on 2023-06-12 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical internet of things (IoT)-based applications are being utilized in several industries and have been shown to provide significant advantages to users in critical health applications. Artificial intelligence (AI) plays a key role in the growth and success of medical IoT applications and IoT devices in the medical sector. To enhance revenue, improve competitive advantage, and increase consumer engagement, the use of AI with medical IoT should be encouraged in the healthcare and medical arena. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications provides greater knowledge of how AI affects healthcare and medical efficacy in order to improve outputs. It focuses on a thorough and comprehensive introduction to machine learning. Covering topics such as patient treatment, cyber-physical systems, and telemedicine, this premier reference source is a dynamic resource for hospital administrators, medical professionals, government officials, students and faculty of higher education, librarians, researchers, and academicians.
Book Synopsis AI in Healthcare by : StoryBuddiesPlay
Download or read book AI in Healthcare written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-05 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying AI in Healthcare: A Comprehensive Look at the Future of Medicine Artificial intelligence (AI) is rapidly transforming the healthcare landscape, holding immense potential to revolutionize how we diagnose, treat, and prevent diseases. This comprehensive guide explores the multifaceted impact of AI in healthcare, delving into its applications, societal influence, and the exciting possibilities it presents for a healthier future. Revolutionizing Diagnosis and Treatment: Enhanced Accuracy: AI algorithms can analyze vast amounts of medical data, including images, genetic information, and patient records, to identify patterns and correlations that might escape human specialists. This leads to more accurate diagnoses, earlier disease detection, and ultimately, better treatment outcomes. Personalized Medicine: AI paves the way for a more personalized approach to healthcare. By analyzing an individual's unique genetic makeup and medical history, AI can tailor treatment plans and preventative measures to their specific needs. Empowering Healthcare Professionals: AI acts as a valuable tool for doctors, nurses, and other healthcare professionals. It automates repetitive tasks, frees up time for patient interaction, and provides real-time insights to support clinical decision-making. Optimizing Healthcare Operations and Efficiency: Streamlined Administration: AI automates tedious administrative tasks such as appointment scheduling, insurance claim processing, and report generation. This reduces healthcare costs, improves operational efficiency, and allows staff to focus on patient care. Improved Resource Allocation: AI can analyze healthcare data to identify areas with high disease burdens and optimize resource allocation for targeted interventions. This leads to a more efficient healthcare system and improved public health outcomes. Remote Patient Monitoring: AI-powered wearable devices and sensors can continuously monitor patients' health status remotely. This allows for early detection of potential issues and timely intervention, particularly for individuals with chronic conditions. Shaping the Future of Healthcare Delivery: Predictive Analytics: AI can analyze vast datasets to identify individuals at high risk of developing certain diseases. This enables preventative measures and early intervention, potentially leading to better health outcomes and reduced healthcare costs. Public Health Transformation: AI plays a crucial role in improving public health on a global scale. It facilitates disease outbreak detection, resource allocation optimization, and knowledge sharing across borders, leading to more effective public health strategies. AI-powered Wellness Coaching: AI can provide personalized coaching and support for individuals seeking to improve their overall health and well-being. This empowers individuals to take a more active role in managing their health. Ethical Considerations and the Road Ahead: While AI offers immense benefits, ethical considerations need to be addressed. Robust data privacy measures, transparent AI development, and ensuring equitable access to AI-powered healthcare for all are crucial. By fostering collaboration between stakeholders, embracing responsible AI development, and prioritizing patient well-being, we can ensure AI becomes a force for positive change in healthcare. Embrace the Future of Healthcare with AI: AI is not a replacement for human expertise, but rather a powerful tool that can augment the skills and knowledge of healthcare professionals. As AI continues to evolve, it has the potential to transform healthcare delivery, improve public health outcomes, and empower individuals to take charge of their own health and well-being. This guide provides a starting point for your exploration of AI in healthcare. Let's work together to ensure this technology is used responsibly and ethically to create a healthier future for all.
Book Synopsis How to Design AI-Driven Clinical Trials in Nuclear Medicine by : Dani Wade
Download or read book How to Design AI-Driven Clinical Trials in Nuclear Medicine written by Dani Wade and published by . This book was released on 2021-04-11 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: in this Book we present a brief overview of the vari- ous hurdles hampering the efficacy of clinical trials and how new artificial intelligence (AI) and machine learning techniques are rising to meet the challenge. We will then focus on the steps that Nuclear Medicine departments can take to position themselves favorably toward what is most likely to become the future of clinical trials.The pathway for a candidate compound to become a regu- latory approved drug is a notoriously lengthy undertaking. Patient cohort recruitment and clinical endpoint selection are among the main causes of high failure rates in the late stages of trials and can cause significant human and financial costs. The overall progressing decline of new drugs approval and return on investment has been fueling a long-standing debate from both research and pharmaceutical industry around new ways to optimize drug development.1,2 Among the most promising avenues towards an effective improvement of success and sustainability of these activities, AI is gaining an increasing importance in the definition of the future of phar- maceutical clinical research and healthcare,3 further fueled by an increasing interest in real world data mining.4
Author :Herman Strange Publisher :Rise of Cognitive Computing: AI Evolution from Origins to Adoption ISBN 13 :9782231913557 Total Pages :0 pages Book Rating :4.9/5 (135 download)
Book Synopsis Machine Learning and AI in Clinical Practice by : Herman Strange
Download or read book Machine Learning and AI in Clinical Practice written by Herman Strange and published by Rise of Cognitive Computing: AI Evolution from Origins to Adoption. This book was released on 2023-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and AI in Clinical Practice: Revolutionizing Diagnosis and Treatment Strategies is a groundbreaking book that delves into the world of artificial intelligence (AI) and machine learning (ML) in healthcare. With advancements in technology, AI and ML have become integral parts of clinical practice, revolutionizing the way diagnoses are made and treatments are administered. This book provides a comprehensive overview of the latest AI and ML applications in healthcare, offering a glimpse into the future of medicine. From predicting treatment outcomes and identifying patient risk factors to drug discovery and personalized medicine, the potential applications of AI and ML in healthcare are limitless. The authors, a team of leading experts in the field, explore the benefits and challenges of using AI and ML in clinical practice, and provide valuable insights into the ethical and social considerations of this rapidly-evolving technology. They also discuss the potential impact on healthcare operations and the need for continued research and development to ensure the responsible use of AI and ML in medicine. Whether you are a healthcare professional, a researcher, or simply interested in the future of medicine, Machine Learning and AI in Clinical Practice is an essential guide to understanding the latest advancements in this exciting field. With detailed explanations of key concepts and real-world case studies, this book is both informative and accessible. Don't miss out on the opportunity to learn about the latest developments in AI and ML in healthcare. This book is a must-read for anyone interested in the future of medicine and the potential for technology to revolutionize clinical practice. Order your copy today and discover the endless possibilities of AI and ML in healthcare.
Book Synopsis How artificial intelligence will change healthcare forever, for better by : Dirk Pickuth
Download or read book How artificial intelligence will change healthcare forever, for better written by Dirk Pickuth and published by Troubador Publishing Ltd. This book was released on 2024-01-26 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'How artificial intelligence will change healthcare forever, for better' provides a comprehensive and exciting panorama of AI’s groundbreaking impact across the entire spectrum of medicine and healthcare – from diagnosis and treatment to research, patient care, hospital administration and public health. At the heart of this book is a message of hope. AI has the power to lead us to a future where healthcare is not only more accessible and accurate, but also more proactive and, indeed, more empathetic. 'How artificial intelligence will change healthcare forever, for better' is not just a title – it is an optimistic assurance, a vibrant declaration of an uplifting future that is within our reach. We invite you to join us on an exciting journey through the fascinating world of AI in healthcare, setting sail for a future where healthcare is not only improved, but changed forever, for better.
Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown
Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Book Synopsis Artificial Intelligence in Oncology Drug Discovery and Development by : John Cassidy
Download or read book Artificial Intelligence in Oncology Drug Discovery and Development written by John Cassidy and published by BoD – Books on Demand. This book was released on 2020-09-09 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.
Book Synopsis Reinventing Clinical Decision Support by : Paul Cerrato
Download or read book Reinventing Clinical Decision Support written by Paul Cerrato and published by Taylor & Francis. This book was released on 2020-01-06 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.
Book Synopsis Artificial Intelligence in Drug Development by : Kavita Sharma
Download or read book Artificial Intelligence in Drug Development written by Kavita Sharma and published by Springer Nature. This book was released on with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Healthcare by : Natasha H. Williams
Download or read book Artificial Intelligence and Healthcare written by Natasha H. Williams and published by Springer Nature. This book was released on 2024-01-01 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers, ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
