Computer-aided triage platform for bone scintigraphy

China Medical University Hostpital

2022 National Healthcare Quality Award

 Patient safety goals

📍Promote teamwork and effective communication

📍Cultivate patient safety, boost institutional resilience, and handle incidents effectively


To slove this problem, the hospital introduced AI to improve the efficiency of the diagnosis using bone scintigraphy. They have developed a unique "bone metastases assitant" system that uses two deep learning technologies to construct Ai models. The first model analyzes the images to determine whether bone metastasis is present. It provides a result of "with/without suspected bone metastasis" and calculates the accuracy rate based on the classification result using a neural network model. The secound model uses a deep learning algorithm to detect suspected bone metastases in the input images and identifies their locations.

 

 

 

 

Source: 2023 Application of Smart Medical Technology

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