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<!DOCTYPE HTML>
<html>
<head>
<title>Intro to Medical AI</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
</head>
<body class="is-preload">
<!-- Header -->
<header id="header">
<div class="inner">
<a href="#" class="image avatar"><img src="images/logo.png" alt="" /></a>
<h1><strong>Introduction to Medical <br />Artificial Intelligence</strong><br /><br />
<a href="aboutus.html">About Us</a>
</h1>
</div>
</header>
<!-- Main -->
<div id="main">
<!-- One -->
<section id="one">
<header class="major">
<h2>Artificial Intelligence for Medical Students<br /></h2>
</header>
<p><b><h3>We hosted the 5th iteration of our workshop series in spring 2023 with over 200 cumulative attendees! You can guide yourself through our updated slides and videos below. Information about upcoming events will be posted here.</a></h3></b></p>
<br>
<p>Artifical intelligence and computer-aided anlaysis have been progressing rapidly, with many potential applications to address clinical problems. This course aims to introduce key AI concepts to medical students to be comfortable in engaging with AI in their clinical careers. <strong>No technical background is required.</strong></p>
</br>
</section>
</section>
<section id="three">
<h2>Workshop Slides, Recordings and Code:</h2>
<div class="row">
<article class="col-4 col-12-xsmall work-item">
<a href="https://docs.google.com/presentation/d/1IHeNBRD54UdfYeKo3W0702hcygI9KIxBIGw6cT_Lw48/edit#slide=id.g2196c841d3b_0_622" class="images fit thumb"><img src="images/sess1.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 1 Slides: Intro to AI, Definitions, Misconceptions</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://drive.google.com/file/d/1VXXMK-Uref6fyL45nHFuwlzYuhUlwddN/view?usp=sharing" class="images fit thumb"><img src="images/sess1.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 1 Recording: Intro to AI, Definitions, Misconceptions</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://colab.research.google.com/drive/1N5RZFxOgRjqb4aUT65M0CgmUcWTXDqF3?usp=share_link" class="images fit thumb"><img src="images/sess1.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 1 CoLab Code: Exploratory Data Analysis</h3>
</article>
</div>
<div class="row">
<article class="col-4 col-12-xsmall work-item">
<a href="https://docs.google.com/presentation/d/1js0Cw2C7TUlJS4rQncNaBkfjyO7oTvSIAr7u0fRIrxo/edit?usp=sharing" class="images fit thumb"><img src="images/sess2.png" width="200" height="120" alt="Session 2" /></a>
<h3>Session 2 Slides: Data Science and Preprocessing</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://drive.google.com/file/d/1l7Cyl4MENgZY1DBxZplGQ757rGRIOBl4/view?usp=sharing" class="images fit thumb"><img src="images/sess2.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 2 Recording: Data Science and Preprocessing</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://colab.research.google.com/drive/10vViKY55xHC8HaPT_59ROMV1Be4Iiwez?usp=sharing" class="images fit thumb"><img src="images/sess2.png" width="200" height="120" alt="Session 22" /></a>
<h3>Session 2 CoLab Code: PCA, and Clustering, and Logistic Regression</h3>
</article>
</div>
<div class="row">
<article class="col-4 col-12-xsmall work-item">
<a href="https://docs.google.com/presentation/d/1dOfYjj69OtLgbTL6pdVMO9KH0xQJGoxUeWaUWOnpcgE/edit?usp=sharing" class="images fit thumb"><img src="images/sess3.png" width="200" height="120" alt="Session 3" /></a>
<h3>Session 3 Slides: Machine Learning Models</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://drive.google.com/file/d/1lEztzIg_Yk7e1Ma9hiUGxM4Ssi0KWqcy/view?usp=share_link" class="images fit thumb"><img src="images/sess3.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 3 Recording: Machine Learning Models</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://colab.research.google.com/drive/1GN5lcEx8J_9LQqvFxKUHNvjJ98aS-s_F?usp=sharing" class="images fit thumb"><img src="images/sess3.png" width="200" height="120" alt="Session 3" /></a>
<h3>Session 3 CoLab Code: Decision Trees and Cross-Validation</h3>
</article>
</div>
<div class="row">
<article class="col-4 col-12-xsmall work-item">
<a href="https://docs.google.com/presentation/d/1vtYBDczdxCRlvYEfq3uZna5M6bTYXhinOn3CtntpoBk/edit?usp=share_link" class="images fit thumb"><img src="images/sess4.png" width="200" height="120" alt="Session 4" /></a>
<h3>Session 4 Slides: Neural Networks and Modern Methods</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://drive.google.com/file/d/12jmJE7zVUnzkPiBv6YQbJpi9i6nu5tHd/view?usp=share_link" class="images fit thumb"><img src="images/sess4.png" width="200" height="120" alt="Session 1" /></a>
<h3>Session 4 Recording: Neural Networks and Modern Methods</h3>
</article>
<article class="col-4 col-12-xsmall work-item">
<a href="https://colab.research.google.com/drive/1CKsW_qwDexP-kitmtC0n1--LRdoesUaF?usp=share_link" class="images fit thumb"><img src="images/sess4.png" width="200" height="120" alt="Session 4" /></a>
<h3>Session 4 CoLab Code: Neural Networks and Convolutional Neural Networks</h3>
</article>
</div>
</section>
<!-- Two -->
<section id="two">
<h2>This course includes:</h2>
<div class="row">
<article class="col-6 col-12-xsmall work-item">
<a href="images/tutorial.jpg" class="image fit thumb"><img src="images/tutorial.jpg" alt="" /></a>
<h3>Tutorials from AI Engineers</h3>
<p>5 1-hour workshops introducing core topics and applications to medicine, including categorical ideas (machine learning, classification, computer vision, supervised/unsupervised learning) and methods (kNN, random forests, neural networks, deep learning, convolutional neural networks).</p>
</article>
<article class="col-6 col-12-xsmall work-item">
<a href="images/programming.jpg" class="image fit thumb"><img src="images/programming.jpg" alt="" /></a>
<h3>Guided Programming Project</h3>
<p>Instructing how to set up a Python AI program to develop decision trees, a common method in journal papers, emphasizing on data processing - a common task requiring expertise of medical students and residents.</p>
</article>
<article class="col-6 col-12-xsmall work-item">
<a href="images/journalpaper.jpg" class="image fit thumb"><img src="images/journalpaper.jpg" alt="" /></a>
<h3>Training to Evaluate AI Applications</h3>
<p>Providing enough context to students such that they can assess the capabilities and limitations of AI in a specific project.</p>
</article>
<article class="col-6 col-12-xsmall work-item">
<a href="images/2019workshop.jpg" class="image fit thumb"><img src="images/2019workshop.jpg" alt="" /></a>
<h3>Interaction with AI Researchers</h3>
<p>Providing the opportunity for students to engage with AI experts to answer and evaluate any questions they have related to AI in their clinical career (photo of some participants in the 2019 workshop).</p>
</article>
</div>
</section>
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<section id="four">
<h2>Weekly Lectures:</h2>
<h4>Join us Tuesday at 6:00PM on zoom by clicking on the link below.</h4>
<a href="https://ubc.zoom.us/j/65444061774?pwd=Umk3c3FnSHVIb2UvWWZ3U0lDRVczdz09">Click here to join!</a>
</section>
-->
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<ul class="copyright">
<li>Hosted by UBC AI in Medicine and Queen's Innovation in Medicine Clubs</li>
<li>Sponsored by UBC Biomedical Imaging and Artifical Intelligence</li>
<li>Sponsored by the UBC Medical Undergraduate Society</li>
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