Bayer Radiology uses Activeloop's Database for AI to pioneer medical GenAI workflows. Bayer Radiology collaborated with Activeloop to make their radiological data AI-ready faster. Together, the parties developed a 'çhat with biomedical data' solution that allows users to query X-rays with natural language. This collaboration significantly reduced the data preparation time, enabling efficient AI model training. Intel® Rise Program further bolstered Bayer Radiology’s collaboration with Activeloop, with Intel® technology used at multiple stages in the project, including feature extraction and processing large batches of data. For more details on how Bayer Radiology is pioneering GenAI workflows in healthcare, read more.

How to Build a Pill Identifier GenAI app with Large Language Models and Computer Vision. About 1 in 20 medications are administered wrongly due to mixups. Learn how you can combine LLMs, computer vision models like Segment Anything and YOLOv8 with Activeloop Deep Lake and LlamaIndex to identify and chat with pills. Activeloop team tested out advanced retrieval strategies and benchmarked them so you can pick the most appropriate retrieval strategy for your multi-modal AI use case. GitHub repository and the article here.