Deep Medicine Book
Score: 4.5
From 4 Ratings

Deep Medicine

  • Author : Eric Topol
  • Publisher : Basic Books
  • File Size : 5,5 Mb
  • Release Date : 2019-03-12
  • Genre: Health & Fitness
  • Pages : 400
  • ISBN 10 : 9781541644649
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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 Book
Score: 4.5
From 3 Ratings

Deep Medicine

  • Author : Eric Topol
  • Publisher : Hachette UK
  • File Size : 14,6 Mb
  • Release Date : 2019-03-12
  • Genre: Health & Fitness
  • Pages : 400
  • ISBN 10 : 9781541644649
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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 Book
Score: 4.5
From 3 Ratings

Deep Medicine

  • Author : Eric J. Topol
  • Publisher : Unknown
  • File Size : 10,7 Mb
  • Release Date : 2019
  • Genre: HEALTH & FITNESS
  • Pages : null
  • ISBN 10 : 1541644611
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Download Deep Medicine Book in PDF and ePub

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 Book
Score: 3.5
From 2 Ratings

The Creative Destruction of Medicine

  • Author : Eric Topol
  • Publisher : Basic Books
  • File Size : 12,6 Mb
  • Release Date : 2011-12-02
  • Genre: Technology & Engineering
  • Pages : 320
  • ISBN 10 : 9780465029341
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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 Book

Inflamed

  • Author : Rupa Marya
  • Publisher : Farrar, Straus and Giroux
  • File Size : 8,6 Mb
  • Release Date : 2021-08-03
  • Genre: Social Science
  • Pages : 496
  • ISBN 10 : 9780374602529
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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 t

The Patient Will See You Now Book
Score: 4
From 1 Ratings

The Patient Will See You Now

  • Author : Eric Topol
  • Publisher : Basic Books
  • File Size : 19,5 Mb
  • Release Date : 2016-10-25
  • Genre: Medical
  • Pages : 400
  • ISBN 10 : 9780465094479
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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 d

Approaches and Applications of Deep Learning in Virtual Medical Care Book

Approaches and Applications of Deep Learning in Virtual Medical Care

  • Author : Zaman, Noor
  • Publisher : IGI Global
  • File Size : 20,5 Mb
  • Release Date : 2022-02-25
  • Genre: Computers
  • Pages : 293
  • ISBN 10 : 9781799889304
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Download Approaches and Applications of Deep Learning in Virtual Medical Care Book in PDF and ePub

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.

Deep Learning for Medical Image Analysis Book

Deep Learning for Medical Image Analysis

  • Author : S. Kevin Zhou
  • Publisher : Academic Press
  • File Size : 15,5 Mb
  • Release Date : 2017-01-18
  • Genre: Computers
  • Pages : 458
  • ISBN 10 : 9780128104095
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Download Deep Learning for Medical Image Analysis Book in PDF and ePub

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Extreme Medicine Book
Score: 3.5
From 5 Ratings

Extreme Medicine

  • Author : Kevin Fong, M.D.
  • Publisher : Penguin
  • File Size : 8,7 Mb
  • Release Date : 2014-02-06
  • Genre: History
  • Pages : 304
  • ISBN 10 : 9780698151611
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Anesthesiologist, intensive care expert, and NASA adviser Kevin Fong explores how physical extremes push human limits and spawn incredible medical breakthroughs Little more than one hundred years ago, maps of the world still boasted white space: places where no human had ever trod. Within a few short decades the most hostile of the world’s environments had all been conquered. Likewise, in the twentieth century, medicine transformed human life. Doctors took what was routinely fatal and made it survivable. As modernity brought us ever more into different kinds of extremis, doctors pushed the bounds of medical advances and human endurance. Extreme exploration challenged the body in ways that only the vanguard of science could answer. Doctors, scientists, and explorers all share a defining trait: they push on in the face of grim odds. Because of their extreme exploration we not only understand our physiology better; we have also made enormous strides in the science of healing. Drawing on his own experience as an anesthesiologist, intensive care expert, and NASA adviser, Dr. Kevin Fong examines how cuttingedge medicine pushes the envelope of human survival by studying the human body’s response when tested by physical extremes. Extreme Medicine explores different limits of endurance and the lens each offers on one of the systems of the body. The challenges of Arctic exploration created opportunities for breakthroughs in open heart surgery; battlefield doctors pioneered techniques for skin grafts, heart surgery, and trauma care; underwater and outer space exploration have revolutionized our understanding of breathing, gravity, and much more. Avant-garde medicine is fundamentally changing our ideas about the nature of life and death. Through astonishing accounts of extraordinary events and pioneering medicine, Fong illustrates the sheer audacity of medical practice at extreme limits, where human life is balanced on a knife’s edge. Extreme Medicine is a gripping debut

Introduction to Deep Learning for Healthcare Book

Introduction to Deep Learning for Healthcare

  • Author : Cao Xiao
  • Publisher : Springer Nature
  • File Size : 10,7 Mb
  • Release Date : 2021-11-11
  • Genre: Medical
  • Pages : 232
  • ISBN 10 : 9783030821845
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This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impact on healthcare delivery in recent years. One crucial benefit of EHRs is to capture all the patient encounters with rich multi-modality data. Healthcare data include both structured and unstructured information. Structured data include various medical codes for diagnoses and procedures, lab results, and medication information. Unstructured data contain 1) clinical notes as text, 2) medical imaging data such as X-rays, echocardiogram, and magnetic resonance imaging (MRI), and 3) time-series data such as the electrocardiogram (ECG) and electroencephalogram (EEG). Beyond the data collected during clinical visits, patient self-generated/reported data start to grow thanks to wearable sensors’ increasing use. The authors present deep learning case studies on all data described. Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep learning models are neural networks of many layers, which can extract multiple levels of features from raw data. Deep learning applied to healthcare is a natural and promising direction with many initial successes. The authors cover deep neural networks, convolutional neural networks, recurrent neural networks, embedding methods, autoencoders, attention models, graph neural networks, memory networks, and generative models. It’s presented with concrete healthcare case studies such as clinical predictive modeling, readmission prediction, phenotyping, x-ray classification, ECG diagnosis, sleep monitoring, automatic diagnosis coding from clinical notes, automatic deidentification, medication recommendation, drug discovery (drug property prediction and molecule generation), and clinical trial mat

Deep Learning Models for Medical Imaging Book

Deep Learning Models for Medical Imaging

  • Author : K.C. Santosh
  • Publisher : Academic Press
  • File Size : 20,9 Mb
  • Release Date : 2021-09-17
  • Genre: Computers
  • Pages : 170
  • ISBN 10 : 9780128236505
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Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow ‘with’ and ‘without’ transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists. Provides a step-by-step approach to develop deep learning models Presents case studies showing end-to-end implementation (source codes: available upon request)

Deep Learning for Medical Decision Support Systems Book

Deep Learning for Medical Decision Support Systems

  • Author : Utku Kose
  • Publisher : Springer Nature
  • File Size : 14,5 Mb
  • Release Date : 2020-06-17
  • Genre: Technology & Engineering
  • Pages : 171
  • ISBN 10 : 9789811563256
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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 Applications in Medical Imaging Book

Deep Learning Applications in Medical Imaging

  • Author : Saxena, Sanjay
  • Publisher : IGI Global
  • File Size : 8,7 Mb
  • Release Date : 2020-10-16
  • Genre: Medical
  • Pages : 274
  • ISBN 10 : 9781799850724
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Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Intelligence Based Medicine Book

Intelligence Based Medicine

  • Author : Anthony C. Chang
  • Publisher : Academic Press
  • File Size : 18,7 Mb
  • Release Date : 2020-07-08
  • Genre: Medical
  • Pages : 548
  • ISBN 10 : 9780128164624
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Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

The Value of Nothing Book
Score: 3.5
From 24 Ratings

The Value of Nothing

  • Author : Raj Patel
  • Publisher : Granta
  • File Size : 9,7 Mb
  • Release Date : 2011
  • Genre: Democracy
  • Pages : 260
  • ISBN 10 : 1846272181
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Traditional Chinese edition of The Value of Nothing: How to Reshape Market Society and Redefine Democracy by raj Patel, the author of Stuffed and Starved: The Hidden Battle for the World Food System. The Value of Nothing is a profound analysis of the global economic crisis stemmed by the "value" set by the "market." The cost of goods made and the ensuing cost of ecological damage do not proportionally represent the "value" of goods we produce and consume. Patel is a fellow at The Institute for Food and Development Policy, a visiting scholar at UC Berkley and a social and environmental activist. In Chinese. Distributed by Tsai Fong Books, Inc.