April 2021
Intermediate to advanced
219 pages
7h 22m
English
Content preview from AI-First Healthcare
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Preface
The number of books describing artificial intelligence (AI), machine learning, deep learning, natural language processing, and the full constellation of AI technologies could fill a library. Coupled with the ever-growing list of articles, videos, and blogs, there is no lack of content. Clinicians, computer scientists, technologists, physicians, philosophers, and journalists each tackle different AI issues and challenges.
However, we couldn’t find a book that discussed AI from a medical doctor and a technologist’s paired perspectives. This is a book that tracks the journey of a physician and a technologist working together, discussing AI’s opportunity while explaining AI for the consumption of a clinician, an IT worker, a user, an executive, or a business stakeholder. Our goal is for you to understand the possibilities for improvements in healthcare supercharged by artificial intelligence.
While discussing this vast potential, we strove to maintain the awe of AI while grounding the reader in the reality of AI today. We hope that Chapter 1 will provide you with confidence that you understand the myth versus the reality. More importantly, this first chapter seeks to familiarize you with the language of AI—what is a model, an algorithm, a neural network, and more—without your needing to brush up on linear algebra or computer science.
Chapter 2 integrates human-centered design, with providers and technologists working together to build smart systems to ensure that AI is used ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.