Here are 100 books that Deep Medicine fans have personally recommended if you like
Deep Medicine.
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I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
I met Dr. Wachter, at the University of California in San Francisco and we were discussing the applicability of technology in a patient’s hospital room to improve care.
I was introduced to his book and was mesmorized. It was one of my early conversations from a clinician stressing that we need technology, computers to be invisible not irresistible in healthcare.
He writes compelling stories about medical errors which only by the stroke of luck didn’t cause a fatality. It reminded me of my sister-in-law who was misdiagnosed as being Type 2 diabetes when she was Type 1.
This misdiagnosis could have proved fatal. The proper use of AI, especially the current wave of generative AI could have made a huge difference.
The New York Times Science Bestseller from Robert Wachter, Modern Healthcare's #1 Most Influential Physician-Executive in the US
While modern medicine produces miracles, it also delivers care that is too often unsafe, unreliable, unsatisfying, and impossibly expensive. For the past few decades, technology has been touted as the cure for all of healthcare's ills.
But medicine stubbornly resisted computerization - until now. Over the past five years, thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital.
Yet once clinicians started using computers to actually deliver care, it dawned on them that something was deeply wrong.…
It is April 1st, 2038. Day 60 of China's blockade of the rebel island of Taiwan.
The US government has agreed to provide Taiwan with a weapons system so advanced that it can disrupt the balance of power in the region. But what pilot would be crazy enough to run…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
The opening paragraph of this book is pure poetry in motion, putting me in a trance and craving to read the entire book.
You wouldn’t know this is a book about neuroscience when reading the opening lines in Chapter 1. Connectome is a thought-provoking exploration of the brain's neural connections and their potential to transform our understanding of ourselves and our place in the world.
Given that artificial intelligence is inspired by neuroscience it’s a great book to understand how the brain works.
Connectome, by Sebastian Seung is 'One of the most eagerly awaited scientific books of the year ... intellectually exhilarating, beautifully written, exquisitely precise yet still managing to be inspirational' Irish Times
What really makes us who we are? In this groundbreaking book, pioneering neuroscientist Sebastian Seung shows that our identity does not lie in our genes, but in the connections between our brain cells - our own particular wiring, or 'connectomes'.
Everything about us - emotions, thoughts, memories - is encoded in these tangled patterns of neural connections, and now Seung and a dedicated team are mapping them in order…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
Parag is a clinician who covers the current and future state for using AI in several healthcare specialties like cardiology, pharmacy, orthopedics, radiology, and many more.
This is a book for generalists who want to understand how AI applies to a variety of medical disciplines. I enjoyed this book because it deepened my knowledge as an AI technologist on how to apply AI in areas of healthcare from the lens of a physician.
The Year Mrs. Cooper Got Out More
by
Meredith Marple,
The coastal tourist town of Great Wharf, Maine, boasts a crime rate so low you might suspect someone’s lying.
Nevertheless, jobless empty nester Mallory Cooper has become increasingly reclusive and fearful. Careful to keep the red wine handy and loath to leave the house, Mallory misses her happier self—and so…
I fell in love with technology when I wrote my first computer program at age 14 when there was no public Internet, no personal computers, no iPhone, no cloud. I have made technical contributions to every era of computing from mainframes, to PCs, Internet, Cloud, and now AI. I was recently elected to the National Academy of Engineering. AI currently surpasses my wildest imagination on the art of what’s possible. I'm still passionately working in technology at Google focused on how to live healthier lives. I believe we can make AI the telescope of the future, to helping everyone live long and healthy lives.
I must confess the book title drew me to the book as I sought to understand and learn more about the ethics of the misuse of AI.
Having worked on committees in the AU and advised various entities in the United States, the subject of ethics is front and center. The expanding use of large language models and rise of generative AI makes the potential for harm stronger than ever.
AI is poised to change our lives and society in ways we have not imagined much like the iPhone when it first arrived. Understanding its potential is useful but understanding its potential for harm is mandatory.
I found this book to be enlightening on the ethical components of AI and technology.
As a professional statistician, I am naturally interested in AI and data science. However, in our current information age, everyone, in all segments of society, needs to understand the basics of AI and data science. These basics include such things as what these disciplines are, what they can contribute to society, and perhaps most importantly, what can go wrong. However, I have found that much of the literature on these topics is highly technical and beyond the reach of most readers. These books are specifically selected because they are readable by virtually everyone, and yet convey the key concepts needed to be data-literate in the 21st century. Enjoy!
Books on AI often go to extremes, either promoting it as the solution to all the world’s problems, or depicting it as an evil that will destroy humanity.
This book is much more practical, and based on experience using AI in actual business applications. It is the result of considerable research, involving investigation of applications not only in silicon-valley, but from various business sectors, such as Airbus, Ping, Progressive Insurance, and Capital One Bank.
Don’t let the title fool you; this book is not simply a promotion of AI, but addresses the practical issues that have to be considered if success is to be achieved. For example, they argue that “the most important aspect in AI success is not machinery, but human leadership, behavior, and change.”
A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.
Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.
Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business…
I have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
Many writers have discussed the dangers that artificial intelligence and machine learning represent to our livelihoods, and how clever computers and autonomous robots will supplant us all in the workplace. What I like about this book is that it provides an alternative, and very optimistic, view of how these new technologies are being deployed. The authors present a future based on a partnership, in which artificial intelligence-based tools work in tandem with human workers, enhancing what individuals can do in the workplace rather than replacing them.
AI is radically transforming business. Are you ready?
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show…
Don’t mess with the hothead—or he might just mess with you. Slater Ibáñez is only interested in two kinds of guys: the ones he wants to punch, and the ones he sleeps with. Things get interesting when they start to overlap. A freelance investigator, Slater trolls the dark side of…
I am an Australian who lives in France, and has worked and lived on three continents, and drawn inspiration for every location. Through this, I have developed a fascination about the way we all think in creatively different ways about the same things. All this cross-referencing has shown me that all responses to the need for change go better with a base of a few things: trust in your own people and those whose businesses support yours, discovery of assets hidden in plain sight, and fun. All these books share these themes. I hope they inspire you to think more creatively and to constantly value the value of values.
I love the fact that I had confirmation that what your data is telling you is probably not what it seems.
This book brilliantly explains the buzzword vocabulary of financial “experts” and what the data that goes with those buzzwords actually show. It’s a wonderfully simple explanation of each term with examples of how skewed the bar graph may be and why, and where real value lies and how to find it.
I found new insights on how to better analyse customer behaviour—without the fancy graphs—and suggestions of what to do about it.
Everywhere you look people are talking about data.
Buzzwords abound - 'data science', 'machine learning','artificial intelligence'. But what does any of it really mean, and most importantly what does it mean for your business?
Long-established businesses in many industries find themselves competing with new entrants built entirely on data and analytics. This ground-breaking new book levels the playing field in dramatic fashion.
The Average is Always Wrong is a completely pragmatic and hands-on guide to harnessing data to transform your business for the better.
Experienced CEO and CMO Ian Shepherd takes you behind the jargon and puts together a powerful…
I am an economist who came to realize that the marketplace of ideas was a political doctrine, and not an empirical description of how we came to know what we think we know. Science has never functioned in the same manner across centuries; it was only during my lifetime that it became recast as a subset of market reality. I have spent a fair amount of effort exploring how economics sought to attain the status of a science; but now the tables have turned. It is now scientists who are trained to become first and foremost market actors, finally elevating the political dominance of the economists.
Edwards revealed how the very architecture of early computers owed a debt to the political structures of the Cold War. The innovation of a command/control/information infrastructure set the template for military regimentation, and subsequently for the surveillance society we currently inhabit. The story of how cybernetics—a field that never quite made the grade as pure science—nevertheless conquered the culture, is fascinating.
The Closed World offers a radically new alternative to the canonical histories of computers and cognitive science. Arguing that we can make sense of computers as tools only when we simultaneously grasp their roles as metaphors and political icons, Paul Edwards shows how Cold War social and cultural contexts shaped emerging computer technology―and were transformed, in turn, by information machines.
The Closed World explores three apparently disparate histories―the history of American global power, the history of computing machines, and the history of subjectivity in science and culture―through the lens of the American political imagination. In the process, it reveals intimate…
As a Chief AI Officer and Strategic AI Expert, I've earned the nickname "AI Whisperer" for my intuitive ability to bridge the gap between artificial intelligence and real-world business applications. My fascination with cycles and patterns, which I explored deeply in my master's thesis on Kondratieff waves, led me to recognize AI's transformative potential long before it became mainstream. With over 25 years of experience blending business strategy, sales leadership, and technological innovation, I've helped countless organizations harness AI's power to revolutionize their operations. What truly sets my heart racing is seeing how AI innovations can unlock human potential.
I actually hugged this book after finishing it! Finally, finally, someone explained GenAI in a way that made my heart race with possibility!
I've been working in tech for years, but this book had me scribbling notes like a possessed person. Every chapter felt like unwrapping a present—I kept running to my partner, saying, "Listen to this!"
An indispensable look at the next frontier of technological advancement and its impact on our world
Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
While it’s not the newest tech, I love that it covers the essential groundwork that sparked the modern AI revolution. I personally think its perfect for engineers and data scientists. It's also a great precursor to my book, giving you the strong foundation you need before diving into the next wave of AI advancements.
Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll…
