| 摘要 |
The subject invention relates to a method and system for diagnosis of a medical condition. A specific embodiment of the subject invention utilizes a plurality of neural networks at a corresponding plurality of clinical sites to assist physicians in diagnosing a medical condition of a patient. Each of the plurality of neural networks can communicate with a server associated with a central neural network via, for example, the Internet. The server can receive patient data which can include, for example, images, patient information, parameters, biopsy information, and physician diagnoses. The central neural network can be trained on a large volume of medical cases, which come from the plurality of clinical sites. Even for relatively rare medical conditions, the neural network can be provided with diagnosed cases at an adequate rate for effective training of the central neural network. At appropriate times, the optimized parameters of the trained neural network can be transmitted to each of the plurality of neural networks at the clinical sites. The neural network at a site can thus assist a physician in reliably determining the nature and the likelihood of a medical condition even when it is dependent on a wide variety of patient data and even when the condition is relatively rare.
|
