SYSTEM AND METHOD FOR TRAINING ARTIFICIAL INTELLIGENCE MODELS USING SUB-GROUP TRAINING DATASETS OF A MAJORTIY CLASS OF SAMPLES

Various systems and methods are provided for training and using a diagnostic model including artificial intelligence (AI) models. The diagnostic model including the AI models may be trained by receiving training data including a majority class of samples corresponding to medical data of patients that do not have the medical condition and a minority class of samples corresponding to medical data of patients that do have the medical condition, determining sub-groups of the majority class of samples based on features of the majority class of samples, generating sub-group training datasets that each include respective samples of the sub-groups of the majority class of samples and samples of the minority class of samples, and training the AI models of the diagnostic model using the sub-group training datasets. The diagnostic model including the AI models may be used to determine whether a patient has a medical condition.