a curated list of resources…
AI Collective Journal Club
One of our goals is to help anyone get started in learning how to read and understand AI/ML research in healthcare. As a clinician or healthcare professional, we believe you don’t need advanced math skills to 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙 𝙖𝙣𝙙 𝙖𝙨𝙨𝙚𝙨𝙨 𝙩𝙝𝙚 𝙘𝙡𝙞𝙣𝙞𝙘𝙖𝙡 𝙪𝙩𝙞𝙡𝙞𝙩𝙮 𝙤𝙛 𝘼𝙄/𝙈𝙇 𝙢𝙤𝙙𝙚𝙡𝙨 𝙞𝙣 𝙩𝙝𝙚 𝙡𝙞𝙩𝙚𝙧𝙖𝙩𝙪𝙧𝙚. The most important thing is diving in! Your clinical perspective and voice in AI research and development are vital.
With this goal in mind, we created the AI Collective Journal Club repository, which contains a curated list of thought-provoking publications, ones that we believe will help showcase key concepts and spur conversations among you and your peers as you learn about artificial intelligence. For each article, we have included a list of discussion questions to help get you started and guide you on what to look for when you read.
Staying up to date - Journals and News
academic journals
Digital Health (Sage Journals)
npj Digital Medicine (Nature Partner Journals)
The Lancet Digital Health (International Society of Digital Medicine)
European Heart Journal — Digital Health
Journal of Medical Internet Research (JMIR)
Getting Started - Online Courses
Fast.AI
Introduction to Machine Learning for Coders — This is a great course to watch even for non-coders. It helps demystify AI by providing a behind-the-scenes look at what it means to build an ML algorithm
coursera
Machine Learning (by Andrew Ng) — Consistently ranked as one of the top online machine learning courses offered for free
elements of aI
Elements of AI is a is a series of free online courses created by Reaktor and the University of Helsinki. Their goal is to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Getting Involved - online Communities and organizations
Building Robodoc
Episodes 1 through 12 of this podcast are designed for an AI beginner — Walking through the challenges of AI implementation in healthcare and how it is different compared to other industries. They explain fundamental concepts such as covariate shift, utilizing examples that healthcare professionals can relate to.
TWIML AI
This Week in Machine Learning and AI — Discusses cutting edge developments in machine learning and AI. It includes interviews with AI experts in fields ranging from healthcare to marketing
Diving Deeper - Online Resources
American Board of Artificial Intelligence in Medicine Course
ABAIM is an organization that offers a certified course designed for clinicians and healthcare professionals, with an aim to help build competencies in the principles and applications of artificial intelligence and human cognition in medicine and healthcare.