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Guest Podcast Appearances

22OctJune 12, 2017 By Dr. Vachon

Episode 20 Radiology Part 1 (show notes at YourAHI.org/Radiology1):

https://yourahi.org/radiology-part-1-an-interview-with-dr-ty-vachon-md/

Episode 21 Radiology Part 2 (show notes to be at YourAHI.org/Radiology2):

Coming soon!

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A Radiologist’s Introduction to AI and Machine Learning

Summary: A Radiologist’s Introduction to AI and Machine Learning

Leigh and I wrote this book to help radiologists.

With all of the news of artificial intelligence and machine learning it can be daunting to find a place to start.

You will need no computer background to read this book.

Program directors or professors may use this a tool to introduce AI and ML to trainees.

The book will present the difference between artificial intelligence, machine learning and neural networks. You will learn that a neural network is similar to human brains and ‘layers’ are similar to synapses.

Just like the first few years of medical school presented new vocabulary, ML and AI have some particular words that are described simply.

There are some similarities between residency training and ‘training an algorithm’ which will be explained.

After reading this book, you will be prepared to read radiology journal articles that showcase AI and ML applications.

Available on Amazon

“A Radiologist Introduction to AI and Machine Learning” available on Amazon

Ty Vachon, MD ML Machine Learning Artificial Intelligence AI Radiology
With all of the news of artificial intelligence and machine learning it can be daunting to find a place to start. This short book is for radiologists, radiology residents and medical students who want to learn the basics. You will need no computer background to read this book.Program directors or professors may use this a tool to introduce AI and ML to trainees. The book will present the difference between artificial intelligence, machine learning and neural networks. You will learn that a neural network is similar to human brains and 'layers' are similar to synapses. Just like the first few years of medical school presented new vocabulary, ML and AI have some particular words that are described simply. There are some similarities between residency training and 'training an algorithm' which will be explained.After reading this book, you will be prepared to read radiology journal articles that showcase AI and ML applications.
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