video1.0<iframe src="https://www.loom.com/embed/ec7415c339b743adb2eb427c649481ec" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/ec7415c339b743adb2eb427c649481ec-a3dd4f17e1bd9967.gif149.26In this video, I discuss my project aimed at streamlining the process of genetic counseling by quickly identifying patients who need it. Using a dataset of 7-8-8 genetic cases, my system analyzes short patient descriptions to classify risk levels into three categories: no counseling needed, counseling recommended, and high risk. This approach not only saves time and reduces unnecessary referrals but also focuses on patients with moderate to high risk. I emphasize that while this prototype is educational and not a medical device, it demonstrates how AI can enhance decision-making in healthcare. I encourage you to consider how such tools can be integrated into our practices.