General Purpose Medical

General-purpose medical AI aims to create single models capable of handling diverse medical tasks across various data modalities (imaging, text, genomics). Current research heavily focuses on foundation models, leveraging large language models and multimodal architectures like vision-language models, often incorporating continual learning techniques to address the challenge of catastrophic forgetting when adapting to new tasks or data domains. This pursuit holds significant promise for improving diagnostic accuracy, streamlining workflows, and enabling more personalized and efficient healthcare delivery.