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Introduction to AI and Its Use Cases

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Abstract

In the healthcare world, the talk about artificial intelligence (AI) has been increasing over the past few years. As a result, healthcare professionals are strongly considering the usage of this beneficial tool in developing novel applications that could benefit clinicians and patients alike. Yet, in the process of developing these applications, individuals are often confronted with several questions, perhaps the most important of which is “Do I really need AI?” To answer that question, one has to understand what AI is beyond the high-level. Unfortunately, the vast majority of beginner-friendly resources on AI stop at the generalized overview of AI and do not talk about how to implement these solutions. The more advanced materials suffer from being opaque, mathematically dense, and are often not healthcare-relevant. The purpose of this book is to give you, the reader, an understanding of what AI actually is, how it works, and how to code AI-based algorithms in a manner that is approachable to a beginner (with a background in healthcare/medicine). But before we can get into the details of AI and its mechanisms, we need to establish a ground-truth definition of what AI actually is and establish the logic behind what kinds of problems would benefit from an AI approach. With that in mind, let’s get started by talking about a paradox that the world of healthcare is facing: too much information and no idea what to do with it.

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  • DOI: 10.1007/978-1-4842-7780-5_1
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© 2022 Abhinav Suri

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Suri, A. (2022). Introduction to AI and Its Use Cases. In: Practical AI for Healthcare Professionals. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-7780-5_1

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