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Features of Deep Medicine PDF

Deep Medicine PDF-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.

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Description of Deep Medicine PDF

Deep Medicine PDF is one of the best medical books for students and for emergency medical doctors . It is a must download.

The Authors

Deep Medicine PDF

Eric Topol, a professor in the Department of Molecular Medicine, is an executive vice president at Scripps Research and the founder and director of the Scripps Research Translational Institute (previously Scripps Translational Science Institute). His work melds genomics, big data, and both information technologies and digital health technologies to advance the promise of personalized medicine.

In 2016, the National Institutes of Health awarded Dr. Topol a $207 million grant to lead a significant part of the All of Us Research Program, a long-term research endeavor aimed at understanding how a person’s genetics, environment and lifestyle can guide approaches to preventing or treating disease.

Topol has published over 1,100 peer-reviewed articles, and his more than 200,000 citations place him among the top 10 most cited researchers in medicine as measured by Thomson Reuters’ Institute for Scientific Information. Widely viewed as one of the most influential physician leaders in the country, Topol is the author of two bestselling books on the future of medicine: The Creative Destruction of Medicine and The Patient Will See You Now. His next book, Deep Medicine, focused on artificial intelligence, will be published in 2019.

Topol earned his medical degree from the University of Rochester and, after additional training at the University of California, San Francisco and Johns Hopkins University, went to the University of Michigan, where he became a tenured professor. Subsequently, as chief of cardiovascular medicine at Cleveland Clinic, he founded a new medical school and led the organization to become the #1 center for heart care in the nation. He was elected to the National Academy of Medicine in 2004. Three years later, he founded the Scripps Research Translational Institute, which joined Scripps Research in 2017.

Dimensions and Characteristics of Deep Medicine PDF

  • Listening Length11 hours and 6 minutes
    AuthorEric Topol
    NarratorGraham Winton
    Whispersync for VoiceReady
    Audible.com Release DateMarch 12, 2019
    PublisherRecorded Books
    Program TypeAudiobook
    VersionUnabridged
    LanguageEnglish
    ASINB07PJ21V5N
  • Book Name : Deep Medicine PDF

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Top reviews

Jijnasu Forever “In a very insightful book, Topol, builds on the key themes from his previous works – In “Creative Destruction..”, he had highlighted the digitizing of all information pertaining to our health and in “Patient Will See..”, he had provided a roadmap for new service models that are truly patient-centric. Here, he extends those themes even further and posits that AI, correctly applied, will be transformative to healthcare delivery.

That is not necessarily a novel prediction. Numerous authors have highlighted the increasing role of machine-learning/AI in healthcare (and more than a few tech companies have hyped it). Topol acknowledges all that enthusiasm, and using a short set of examples hihglight the value of AI in the first chapter itself. The rest of the book is a systematic expansion of where Topol sees the biggest opportunities in AI are – to the extent he calls it the next industrial revolution.

Topol does an excellent job in differentiating clinicians as those that work with and without patterns – these two chapters highlighting the complexities and skill set required to master a cognitive, integrative process is perhaps the most interesting part of the book. These highlight the key assumptions AI developers should (and shouldn’t) make while designing their systems. The discussions on how health systems are approaching AI and ML is interesting, but a reader familiar with the academic literature may brush it off as old news; however, Topol manages to convey the key insights and implications that can be extrapolated to other applications. He also provides an interesting take on the role of AI in nutrition and mental health and then becomes very generous with imagination in his discussion on virtual medical assistant.

Imaginative, informative, and inspiring – but Topol, almost always ignores the question of “who will pay for it” that has dogged the field of mHealth etc for a while. A reader would have benefited from his expanded views on this issue as well. Overall, an excellent read for anyone remotely interested in healthcare or technology and a wonderful thought-starter for any start-up.”

D. Fowler “The first time I encountered anything by Eric Topol was when I read his last book  The Patient will See You Now . I’ve always had an interest in the history of medicine, particularly that of the nineteenth century. It was during that particular time that, despite the quackery of some men and women of medicine, great advances were made. We’re yet again at a juncture in time where we are once again moving forward at a rapid rate. This is a time where the past and the future are melding, where we are finding best practices in a highly technological age. I should say attempting to find the best practices as some people are finding it difficult to move into this new world, miring themselves in the past. Topol is what I’d dub a futuristic author, one who envisions a future in medicine, a visionary not unlike some of his nineteenth century predecessors.

If you heard Dr. Topol on NPR, you probably got a glimpse as to what he is attempting to do in this book. He wants to introduce us to the future of medicine, the way AI (artificial intelligence) and technology can help us move into that future. If you listened long enough, you may have heard a frustrated physician express his views. Topol also, once again, recounts the tale of the medical mystery of “Robert,” and how his misdiagnosis “represents everything wrong with medicine today.” Medicine, as it has been practiced and is being practiced, failed not only Robert, but Topol himself. Add the rest of us as far as he’s concerned. He feels this book, as far as futuristic medicine goes, is the “most far-reaching one.”

Topol begins by explaining the three-fold components of the deep medicine model. He quickly shifts into what he calls “shallow medicine,” the medicine he assumes most physicians now practice. According to Topol, in part, this results in “extraordinary waste, suboptimal outcomes, and unnecessary harm.” I feel he is not giving his peers credit for what I see as an incredible shift toward the use of AI and high-tech practices in medicine. For example, the physicians and specialists I see are in the trenches, already utilizing deep medicine. Had they not been, I would have long been in the bone yard pushing up daisies. However, I do love Topol’s remarkable compilation of studies, discussions on the positive impact AI tools can have in today’s medicine, the importance of patient advocacy, etc.

For those who love to read about science and medicine (I do), this is a fabulous resource. My only quibble with Dr. Topol are a few sweeping opinion-based views. For example, when he talks about shallow medical practice that leads to “plenty of misdiagnoses and unnecessary procedures,” he takes a stab at the new blood pressure guidelines outlined by the American Heart Association and American College of Cardiology in 2017. Topol goes on to say that this is “leading to the diagnosis of more than 30 million more Americans with hypertension despite the lact of any solid evidence to back up this guideline.” This, according to Topol, “was misdiagnosis at an epidemic scale.”

This statement is rather irresponsible at best considering the guidelines were changed in 2017 for good reason. The study, which Topol doesn’t mention, was the Systolic Blood Pressure Intervention Trial (SPRINT). Check it out if you will. This book is quite readable, fun actually, but make sure you consult with your doctor before tossing out your meds. I for one am seeing physicians practicing deep medicine and am not finding those doctors Topol claims can be overconfident, condescending, arrogant, or simply not caring. I would suggest a bit of due diligence and a bit of extra research as well as a trip to your physician before making any lifestyle changes one may read about in this book. The book has an excellent index, source notes, and numerous charts and graphs for reference.”

A M “The main theses of this book are: physicians may use algorithms based on deep learning for diagnosis (and some other tasks), but they should be careful, since sometimes these algorithms err, and they should have more free time to treat their patients in an empathic way. I’m not familiar with anyone who disagrees with these rather obvious theses. The book belongs to the trend of futurologists forecasting the influence of Artificial Intelligence. It surveys the history and the algorithm of AI (there are some minor errors in this survey) as well as a very long list of medical start-ups. Strangely the author ignores the following problem: the deep learning algorithm does not explain its predictions (the model is a black box), and therefore relying on deep learning does not lead to physiological understandable theories. Other machine learning algorithms, such as decision trees and association rules, do present explanations.”

Amazon Customer “I saw a recommendation for the book on the internet and got curious to read it. Little I knew my mind would actually be blown by my ignorance on the state of affairs of medicine.

The book is straightforwardly written, full of meaningful and important facts properly referenced throughout the text. This is nowadays more than ever important, as whatever you read here should provide you a good base to think on what healthcare systems have we built and want to build for our future. AI is going to be pervasive and affect everything, starting from the patient-physician relation and going up to the ‘top’, where individuals data are chunked to produce guiding data for health policies. Being aware of these changes opens room for us patients to fight for a more humane and effective care.”

Source : Amazon

Deep Medicine PDF

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