<?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/dc9bb1744f744ffe9f3c8b7fd75ba975&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/dc9bb1744f744ffe9f3c8b7fd75ba975-62a8ec5b2f55d6fd.gif</thumbnail_url><duration>3271.967</duration><title>AI Crash Course for Veterinarians 🐾  Part 3: Top Use Cases for GenAI in VetMed</title><description>Hey everyone, in this video, I delve into the intricacies of AI models in healthcare, focusing on the challenges and risks associated with their use. I discuss the importance of context and attention in handling diverse data sets and the potential for bias in AI decision-making. Watch to explore how AI can augment medical processes and the critical need for human oversight in ensuring accuracy and reliability. No action requested.</description></oembed>