Transurethral Plasmakinetic Resection Of Prostate AI Alert
Prostatic hyperplasia is a common disease in elderly male patients and transurethral plasmakinetic resection of prostate is the most popular treatment to that. The doctor uses a small round knife to cut the mucosa at the junction of the middle gland and the bladder neck. There is a risk of overcutting during the cutting process, which is a big threat to patients. If a smart device can be used to assist the doctor to judge whether the cutting is excessive, and promptly give the doctor an early warning, the risk can be effectively prevented.
Therefore, we have constructed a prognostic analysis system for transurethral plasmakinetic resection of prostate, which can send out an alarm when doctors overcut the critical parts and prevent over-cutting. We wish to help doctors make operational decisions more quickly, and complete more accurately and safely surgery.
(1). This is the first attempt on transurethral plasmakinetic resection of prostate, allowing the application of technology to benefit more patients, with the help of image recognition, deep learning and other techniques.
(2). A cross-border integration of artificial intelligence and medicine.
(3). Optimizing the target detection algorithm for convolutional neural networks.
(4). Deploying the convolutional neural network to the embedded device.
(5). Using the FPGA parallelization pipeline operation to process the convolution operation in order to accelerate the convolutional neural network.
(6). Dispatching CPU and FPGA reasonably with characteristics of PYNQ-Z2, so that PL and PS can work together.