Abstract: Systems and methods for generating synthetic medical data are provided. One of 1) an input medical image, 2) input medical text, or 3) an input medical image/text pair is received. Features are extracted from the received one of 1) the input medical image, 2) the input medical text, or 3) the input medical image/text pair. One of A) synthetic medical text, B) a synthetic medical image, or C) a synthetic medical image/text pair is generated for the received one of 1) the input medical image, 2) the input medical text, or 3) the input medical image/text pair respectively based on the extracted features and using a trained machine learning based model. The generated one of A) the synthetic medical text, B) the synthetic medical image, or C) the synthetic medical image/text pair is output.

Abstract: Systems and methods for performing a clinical task using a trained language model are provided. Input medical data associated with a medical domain is received. A clinical task is performed based on the input medical data using a trained language model. Results of the clinical task are output. The trained language model is trained by: receiving domain-specific training data associated with the medical domain and training a pretrained, instruction-tuned language model for the medical domain using the domain-specific training data.