OpenI

OpenI is a dataset that contains a collection of chest X-ray images and associated clinical data used to evaluate the performance of AI models in interpreting radiographic findings and generating diagnostic predictions.

Papers using OpenI (5)

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation2026Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding2026Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays2025A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports2020 · 76 citesMulti-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training2021 · 1 cites