Using artificial intelligence-enabled system, machine learning models can now detect, count, and identify individual equipment/instruments and prepare surgical trays for a specific medical procedure and make tray assembly faster and more accurate. If a tray has the wrong assets, AI system can alert the technician with visual and audible cues, so they know to resolve the issue before moving on. Try out the ML model built using Skyl.ai computer vision platform for AI assisted equipment detection on a surgical tray.
Try the Inference API
( Select an image and click on predict )