Recently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of urinary diseases with the development of data storage, image processing, pattern recognition and machine learning technologies. Based on the massive biomedical big data of imaging and histopathology, many urinary system diseases (such as urinary tumor, urological calculi, urinary infection, voiding dysfunction and erectile dysfunction) will be diagnosed more accurately and will be treated more individualizedly. However, most of the current AI diagnosis and treatment are in the pre-clinical research stage, and there are still some difficulties in the wide application of AI. This review mainly summarizes the recent advances of AI in the diagnosis of prostate cancer, bladder cancer, kidney cancer, urological calculi, frequent micturition and erectile dysfunction, and discusses the future potential and existing problems.
Artificial Intelligence ; trends ; Diagnosis, Computer-Assisted ; trends ; Humans ; Image Processing, Computer-Assisted ; Urologic Diseases ; diagnosis

Within six months of the discovery of X-ray in 1895, the technology was used to scan the interior of the human body, paving the way for many innovations in the field of medicine, including an ultrasound device in 1950, a CT scanner in 1972, and MRI in 1980. More recent decades have witnessed developments such as digital imaging using a picture archiving and communication system, computer-aided detection/diagnosis, organ-specific workstations, and molecular, functional, and quantitative imaging. One of the latest technical breakthrough in the field of radiology has been imaging genomics and robotic interventions for biopsy and theragnosis. This review provides an engineering perspective on these developments and several other megatrends in radiology.
Biological Markers/analysis ; Biomedical Engineering ; Diagnosis, Computer-Assisted/*trends ; Diagnostic Imaging/*trends ; Equipment Design ; Genomics ; Humans ; Image Processing, Computer-Assisted/*trends ; Radiology Information Systems/*trends ; Robotics ; Systems Integration ; User-Computer Interface

It is particularly important for telediagnosis to transmit diagnostic video in real time. Firstly, we introduce image compression, multithread and multicast technology, then a solution is provided for the real-time video transmission system based on TCP/IP LAN.
Computer Communication Networks ; Data Compression ; methods ; Diagnosis, Computer-Assisted ; Equipment Design ; Image Processing, Computer-Assisted ; Software ; Telemedicine ; instrumentation ; trends ; Video Recording ; instrumentation

In this paper, we review and summarize some progresses achieved in last few years in computer-aided diagnosis of multi-dimensional medical images for breast tumors, micro-calcification, lung nodules, colonic polyps and coronary arterial diseases.
Breast Neoplasms ; diagnosis ; Calcinosis ; diagnosis ; Colonic Polyps ; diagnosis ; Coronary Artery Disease ; diagnosis ; Diagnosis, Computer-Assisted ; methods ; Diagnostic Imaging ; trends ; Female ; Humans ; Multiple Pulmonary Nodules ; diagnosis