Deep Medicine
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Deep Medicine
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Author : Eric Topol
language : en
Publisher: Hachette UK
Release Date : 2019-03-12
Deep Medicine written by Eric Topol and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-12 with Health & Fitness categories.
A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.
Deep Medicine
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Author : Eric J. Topol
language : en
Publisher:
Release Date : 2019
Deep Medicine written by Eric J. Topol and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with HEALTH & FITNESS categories.
One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.
The Creative Destruction Of Medicine
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Author : Eric Topol
language : en
Publisher: Basic Books
Release Date : 2011-12-02
The Creative Destruction Of Medicine written by Eric Topol and has been published by Basic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-02 with Technology & Engineering categories.
What if your cell phone could detect cancer cells circulating in your blood or warn you of an imminent heart attack? Mobile wireless digital devices, including smartphones and tablets with seemingly limitless functionality, have brought about radical changes in our lives, providing hyper-connectivity to social networks and cloud computing. But the digital world has hardly pierced the medical cocoon. Until now. Beyond reading email and surfing the Web, we will soon be checking our vital signs on our phone. We can already continuously monitor our heart rhythm, blood glucose levels, and brain waves while we sleep. Miniature ultrasound imaging devices are replacing the icon of medicine--the stethoscope. DNA sequencing, Facebook, and the Watson supercomputer have already saved lives. For the first time we can capture all the relevant data from each individual to enable precision therapy, prevent major side effects of medications, and ultimately to prevent many diseases from ever occurring. And yet many of these digital medical innovations lie unused because of the medical community's profound resistance to change. In The Creative Destruction of Medicine, Eric Topol--one of the nation's top physicians and a leading voice on the digital revolution in medicine--argues that radical innovation and a true democratization of medical care are within reach, but only if we consumers demand it. We can force medicine to undergo its biggest shakeup in history. This book shows us the stakes--and how to win them.
Inflamed
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Author : Rupa Marya
language : en
Publisher: Farrar, Straus and Giroux
Release Date : 2021-08-03
Inflamed written by Rupa Marya and has been published by Farrar, Straus and Giroux this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Social Science categories.
Raj Patel, the New York Times bestselling author of The Value of Nothing, teams up with physician, activist, and co-founder of the Do No Harm Coalition Rupa Marya to reveal the links between health and structural injustices--and to offer a new deep medicine that can heal our bodies and our world. The Covid pandemic and the shocking racial disparities in its impact. The surge in inflammatory illnesses such as gastrointestinal disorders and asthma. Mass uprisings around the world in response to systemic racism and violence. Rising numbers of climate refugees. Our bodies, societies, and planet are inflamed. Boldly original, Inflamed takes us on a medical tour through the human body—our digestive, endocrine, circulatory, respiratory, reproductive, immune, and nervous systems. Unlike a traditional anatomy book, this groundbreaking work illuminates the hidden relationships between our biological systems and the profound injustices of our political and economic systems. Inflammation is connected to the food we eat, the air we breathe, and the diversity of the microbes living inside us, which regulate everything from our brain’s development to our immune system’s functioning. It’s connected to the number of traumatic events we experienced as children and to the traumas endured by our ancestors. It’s connected not only to access to health care but to the very models of health that physicians practice. Raj Patel, the renowned political economist and New York Times bestselling author of The Value of Nothing, teams up with the physician Rupa Marya to offer a radical new cure: the deep medicine of decolonization. Decolonizing heals what has been divided, reestablishing our relationships with the Earth and one another. Combining the latest scientific research and scholarship on globalization with the stories of Marya’s work with patients in marginalized communities, activist passion, and the wisdom of Indigenous groups, Inflamed points the way toward a deep medicine that has the potential to heal not only our bodies, but the world.
Approaches And Applications Of Deep Learning In Virtual Medical Care
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Author : Zaman, Noor
language : en
Publisher: IGI Global
Release Date : 2022-02-25
Approaches And Applications Of Deep Learning In Virtual Medical Care written by Zaman, Noor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-25 with Computers categories.
The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.
Explainable Ai In Healthcare And Medicine
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Author : Arash Shaban-Nejad
language : en
Publisher: Springer Nature
Release Date : 2020-11-02
Explainable Ai In Healthcare And Medicine written by Arash Shaban-Nejad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Technology & Engineering categories.
This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
The Patient Will See You Now
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Author : Eric Topol
language : en
Publisher: Basic Books
Release Date : 2016-10-25
The Patient Will See You Now written by Eric Topol and has been published by Basic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-25 with Medical categories.
The essential guide by one of America's leading doctors to how digital technology enables all of us to take charge of our health A trip to the doctor is almost a guarantee of misery. You'll make an appointment months in advance. You'll probably wait for several hours until you hear "the doctor will see you now"-but only for fifteen minutes! Then you'll wait even longer for lab tests, the results of which you'll likely never see, unless they indicate further (and more invasive) tests, most of which will probably prove unnecessary (much like physicals themselves). And your bill will be astronomical. In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, shows why medicine does not have to be that way. Instead, you could use your smartphone to get rapid test results from one drop of blood, monitor your vital signs both day and night, and use an artificially intelligent algorithm to receive a diagnosis without having to see a doctor, all at a small fraction of the cost imposed by our modern healthcare system. The change is powered by what Topol calls medicine's "Gutenberg moment." Much as the printing press took learning out of the hands of a priestly class, the mobile internet is doing the same for medicine, giving us unprecedented control over our healthcare. With smartphones in hand, we are no longer beholden to an impersonal and paternalistic system in which "doctor knows best." Medicine has been digitized, Topol argues; now it will be democratized. Computers will replace physicians for many diagnostic tasks, citizen science will give rise to citizen medicine, and enormous data sets will give us new means to attack conditions that have long been incurable. Massive, open, online medicine, where diagnostics are done by Facebook-like comparisons of medical profiles, will enable real-time, real-world research on massive populations. There's no doubt the path forward will be complicated: the medical establishment will resist these changes, and digitized medicine inevitably raises serious issues surrounding privacy. Nevertheless, the result-better, cheaper, and more human health care-will be worth it. Provocative and engrossing, The Patient Will See You Now is essential reading for anyone who thinks they deserve better health care. That is, for all of us.
Deep Learning For Medical Decision Support Systems
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Author : Utku Kose
language : en
Publisher: Springer Nature
Release Date : 2020-06-17
Deep Learning For Medical Decision Support Systems written by Utku Kose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Technology & Engineering categories.
This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.
Deep Learning And Convolutional Neural Networks For Medical Image Computing
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Author : Le Lu
language : en
Publisher: Springer
Release Date : 2017-07-12
Deep Learning And Convolutional Neural Networks For Medical Image Computing written by Le Lu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Computers categories.
This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Artificial Intelligence In Medicine
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Author : Lei Xing
language : en
Publisher: Academic Press
Release Date : 2020-09-03
Artificial Intelligence In Medicine written by Lei Xing and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-03 with Medical categories.
Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach