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Information × Registration Number 2120U007859, Article popup.category Препринт Title Development of a visualization system for neural network results on medical images (AI translated) popup.author Borovets AndriiBorovets Andrii popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4522 popup.publisher Description Heart stenosis corresponds to a frequent problem with the heart arteries when the valve is getting too narrow and does not open properly. The flaps of a valve may become thicker or bound together, and as a result, preventing the valve from fully opening. This problem can be detected and treated, if diagnosed in time. To deter- mine if patients’ conditions are critical or not – may require a significant amount of time of the doctor. Diagnosis timing is one of the most critical factors with this particular disease, frequently determining the outcome for the patient. Considering the current general medical service practice, there is no apparent way to create a prioritized patients list, so that patients with more critical or urgent conditions could be treated first. In this project I worked on a web application that would accept the MPR im- ages from a user(doctor) and feed these images to a Neural network algorithm that would predict the state of the patient and prioritize the list of patients for the doctor. The app also has a very intuitive and self-explanatory probability chart to facilitate doctor’s review of each patient’s case. Altogether, the app is expected to address the problem of making urgent stenosis cases apparent to the doctor. popup.nrat_date 2025-11-05 Close