<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/df0a26a903cd4453a28f42a158f82958&quot; frameborder=&quot;0&quot; width=&quot;2580&quot; height=&quot;1935&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1935</height><width>2580</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1935</thumbnail_height><thumbnail_width>2580</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/df0a26a903cd4453a28f42a158f82958-699bd2465980d987.gif</thumbnail_url><duration>1207.633</duration><title>AI Crash Course for Veterinarians 🐾  Part 4: Top Use Cases to Have Cation With</title><description>In this video, I delve into the crucial aspects of implementing AI, focusing on patient triage as a primary use case. I highlight the risks involved in using AI tools that lack thorough vetting and caution against relying on black box decision-making models. Viewers are urged to research and understand the implications of AI implementation to ensure safe and responsible practices.</description></oembed>