Название: Quantum Care: A Deep Dive into AI for Health Delivery and ResearchАвтор: Rohit Mahajan
Издательство: Advantage Media Group
Год: 2023
Страниц: 198
Язык: английский
Формат: epub (true)
Размер: 10.2 MB
“AI,” “Deep Learning,” and “Machine Learning” are all the buzzwords you are hearing right now revolving around the field of Artificial Intelligence, especially in how AI is being used for business applications regarding analytics and Big Data. Artificial Intelligence (AI) and Machine Learning (ML) often get used interchangeably, but they are not exactly the same thing. At its most basic level, AI is a broad concept of machines being able to carry out tasks in a way that we would consider “smart.” Machine Learning takes that concept to the next level of machines that not only can perform smart tasks but can actually learn and then make decisions and predictions based on what they have learned.
Deep Learning (DL) takes the AI concept to an even higher level. It is the cutting edge of the cutting edge, the space where machines not only learn but can be intuitive and come up with ideas on their own based on their extensive database of knowledge, learning, and “experience.” In this sense, and how we will be discussing AI in this book, Artificial Intelligence is not just about intelligence but about intuition and insight, the kinds of cognitive abilities that we, until recently, only ascribed to the human mind. It is this aspect of where AI is today and where it is going that has the most profound applications—particularly in healthcare.
“Can machines think?”
It has been a question that has been asked ever since Alan Turing came up with the first machines that we would become known as “computers” in the early 1950s. In Quantum Care: A Deep Dive into AI for Health Delivery and Research, Rohit Mahajan not only answers the question of “can machines think ? ” but he takes an incisive and engaging look into how they think. All with an eye turned toward how AI is leading to a revolution in the healthcare industry that is likely to prove as profound as the introduction of antibiotics or the discovery of x-rays.
We are already interacting with deep machine learning on a regular basis.
Have you heard yourself or your friends ever ask the question, “how does Facebook, Google, Amazon, etc., show me ads for things that I was only just thinking about buying?" These large tech companies do not have hidden cameras in your homes or secret drones following you around. What they do have is advanced deep learning algorithms, and this is how Amazon gets to intuitively “decide” what you want to buy next, or Netflix “knows" what you want to watch.
At its core AI is about learning by being able to interpret massive amounts of data and then, very quickly, being able to make extraordinarily accurate predictions based on the same. As you might imagine, that has some remarkable implications for the delivery of medicine and healthcare.
In Quantum Care: A Deep Dive into AI for Health Delivery and Research , Rohit takes us on his personal journey leveraging his real-world experiences and thoughtful insights to help us grasp how AI is becoming ubiquitous in our everyday lives and how AI and machine learning will in the very near future change the very nature of the healthcare industry.
The book also provides a roadmap for investors and startups looking to leverage the exponential growth opportunities being made available by AI healthcare solutions, particularly in the areas of drug discovery and medical research.
With an easy-to-read style, Rohit makes once science fiction concepts such as quantum computers and digital replicas of human organs understandable so that healthcare professionals and medical consumers alike can come not to fear AI, but embrace it and feel excited about this new world we are all soon to find ourselves in.
In this book, Rohit covers a vast range of technologies - Artificial Intelligence (AI), cognitive digital twins (CDT), Internet of Things (IoT), and many others - and their impact on the healthcare industry. For example, using data from a patient’s electronic health record, Google researchers have developed AI models that can predict the course of a disease for the patient and the risk of death during a hospital stay with 95 percent accuracy.
One of the cornerstones of AI and how it is currently being used and how it will further evolve in the future, particularly in healthcare, is Natural Language Processing, or NLP. NLP allows machines to break down and interpret human language. It’s at the core of many of the digital tools we use every day—from translation software, chatbots, spam filters, and search engines to grammar correction software, voice assistants, and social media monitoring tools. Every time that you ask Siri or Alexa for anything, you are engaging with NLP. The better that those AI algorithms can understand the nuances of human language, the better they can respond to your questions. At its core, Natural Language Processing is how machines learn to auto
Contents:
Introduction | Can Machines Think?
Part I | The Trends
Chapter 1 | AI Today
Chapter 2 | Natural Language Processing—Beyond Speech to Text
Chapter 3 | Quantum Computing—Speeding Up the Cycle
Chapter 4 | Cognitive Digital Twin
Chapter 5 | Internet of Things—IoT
Chapter 6 | Testing AI Applications and Addressing Bias
Chapter 7 | AI and Drug Discovery
Part II | Healthcare Start-Ups: The Big Picture
Chapter 8 | Where It’s Happening
Chapter 9 | Challenges of Implementation
Conclusion | What’s Next?
About the Author
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