Image: A recent article published by Nature Medicine introduces the world to a recently discovered open-source visual-language foundation model BiomedGPT that has been used for various biomedical applications in the field. As we have witnessed the rise of AI use in various technologies over the past year Dr. Tianming Liu's research team has used this idea and collaborated on using AI techniques in solving tasks within the biomedical field such as radiology interpretation and clinical information summarization. This, in turn, would aid doctors in real-time as they would be able to obtain information faster than previously before as the AI can be applied to be used on different tasks to interpret medical data faster and as efficiently. "BiomedGPT mainly understands and interprets biomedical images such as MRI, CT, pathology, microscopy, and biomedical texts such as clinical notes, electronic health records, and literature publications," said Tianming Liu, Distinguished Research Professor of Computer Science at the University of Georgia School of Computing and co-author on the study. The BiomedGPT model can perform diverse biomedical tasks such as radiology report generation and visual question answering across modalities using natural language instructions." We would like to congratulate Dr. Tianming Liu on his and his group's research success. Read More: Link to the published article.