StanfordAIMI/RadPhi-2

StanfordAIMI/RadPhi-2 is a 3 billion parameter language model developed by Stanford AIMI, specifically designed for chest X-ray interpretation. This model, also known as CheXagent, is optimized for medical imaging tasks, leveraging a 2048-token context length to process and interpret radiological data. Its primary use case is to serve as a foundation model for chest X-ray analysis, aiding in diagnostic support and research within the medical domain.