In the medical device field, computer vision offers transformative potential to enhance patient outcomes and save lives. By applying CNN algorithms like YOLO, we can improve sterilization processes, detecting objects in inspection videos to meet critical safety standards. While these algorithms are powerful, real-world implementation reveals challenges: the lack of consensus in labeled data and the importance of aligning AI solutions with hospital workflows. Partnering closely with nursing staff who rely on these tools daily, Digineer is merging technical precision with practical usability, underscoring both the promise and the complexities of deploying AI in life-saving healthcare environments.