Method for improving the performance of medical image analysis by an artificial intelligence and a related system

A system for classifying images of a body portion according to a characteristic of the body portion using an artificial intelligence for classifying images of a body portion according to a characteristic of the body portion, the system comprises a communication unit, at least one processor, and at least one memory, the processor and/or the memory configured to realize a training unit, and an analysis unit,

• wherein the analysis unit is configured to store a current model of the artificial intelligence and to classify images of the body portion using the artificial intelligence configured according to the current model,
• wherein the system is configured to provide a data set comprising a user-specific data element,
• wherein the training unit is configured to generate an adapted model of the artificial intelligence by training the artificial intelligence on a training data set comprising a user-specific data element of the data set provided by the system,
• wherein the system is configured to determine a classification performance of the current model and a classification performance of the adapted model and to replace, in the analysis unit, the current model of the artificial intelligence with the adapted model of the artificial intelligence if the classification performance of the adapted model is better than the classification performance of the current model,
• wherein the communication unit is configured to provide an image of the body portion taken by a user during the user's routine work to the user and to receive a user input concerning a label indicating the classification of the image provided,
• wherein the user-specific data element comprises the image provided and its label received by the user input,
• wherein the system is configured to generate the user-specific data element in an automated manner,
• wherein the user input comprises or consists of at least one of approving, in a direct or indirect manner, a proposed classification of the image and correcting, in a direct or indirect manner, a proposed classification of the image, and
• wherein the system is configured for an automatic generation of the training data set and the adapted model triggered by a preset number of new user-specific data elements or by a preset time interval.