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Ty Vachon, M.D.

https://www.letsengage.com/talent/ty-vachon-md

Dr. Ty Vachon AI in Healthcare 2022

AI Corespot

AI in Healthcare

Dr. Vachon Udacity AI Conference 2020

Informative Keynotes and Panels Led by Industry Thought Leaders Thrive in an immersive learning environment that brings together leading academics and industry visionaries.

https://www.udacity.com/ai_in_healthcare/virtual_conference

Presentation: ARTIFICIAL INTELLIGENCE AND THE FUTURE OF MEDICINE March 2020

Guest speaker on AI in Health NAMDRC 2020 Annual Conference

A Conference for Respiratory Care, Pulmonologists and Sleep Medicine Practitioners March 12 – 14, 2020

AMA Physician Innovation Network

International Conference on Radiation Medicine

ICRM2020
The International Conference on Radiation Medicine (ICRM2020) is organized by King Faisal Specialist Hospital & Research Centre.

Its goal is to bring together renowned clinicians, scientists and other health professionals to share and discuss the latest advances and future innovative approaches in the field of radiation in medicine.

My Podcast Appearances

Guest Appearance Requests

A RADIOLOGIST’S INTRODUCTION TO AI AND MACHINE LEARNING

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.

Ty Vachon, MD ML Machine Learning Artificial Intelligence AI Radiology

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