Hysterosalpingography

Project overview

This project focuses on leveraging artificial intelligence (AI) to enhance Hysterosalpingography (HSG) procedures. It aims to improve the detection of contrast media, identify various stages of the procedure, and recognize both surgical tools and abnormalities in the uterus and fallopian tubes. Through detailed annotation of these components, our goal is to create an AI model capable of delivering accurate, real-time analysis during HSG procedures. 

Project objectives

This advancement is expected to significantly boost the diagnostic power of HSG, aiding medical professionals in identifying and addressing fertility-impacting issues like blockages and abnormal shapes. AI's precision in monitoring contrast media flow and spotting irregularities will empower doctors to make better-informed decisions, ultimately enhancing patient care outcomes. Moreover, the project seeks to increase the safety and efficiency of HSG procedures by providing context-aware support through the AI model, which will ensure utmost accuracy at every procedure stage. In essence, this initiative is set to revolutionize HSG by integrating AI into its processes, thereby making them more precise, efficient, and beneficial for both patients and healthcare providers.