# Medical Imaging

MedTrinity-25M is a large-scale multimodal dataset featuring multi-granular medical annotations. Developed by multiple authors, it aims to advance research in medical image and text processing. The dataset's construction involves steps such as data extraction and multi-granular text description generation, supporting various medical image analysis tasks, such as visual question answering (VQA) and pathology image analysis.

Sonio is an AI-driven software designed to enhance the efficiency, accuracy, and professionalism of prenatal ultrasound examinations. It addresses challenges faced by medical teams by automating image quality control, reporting, data integration, and billing. Sonio boosts team skills with real-time guidance and the latest clinical research, reduces IT maintenance costs, and provides a modern centralized solution.

Azyri is an AI-powered medical assistant that leverages bone age measurement and analysis to provide accurate diagnostic and treatment recommendations to medical teams. Its advantages include alleviating the workload of medical professionals, enhancing work efficiency, and offering flexible pricing based on service packages. Key functions include bone age measurement, diagnostic X-ray analysis, medical imaging processing, and machine intelligence-driven insights.

CheXagent is a chest X-ray interpretation tool based on visual language foundation models. It leverages clinical large language models to parse radiology reports, visual encoders to represent X-ray images, and designs a network to bridge the visual and language modalities. Additionally, CheXagent introduces CheXbench, a new benchmark designed to systematically evaluate the performance of visual language foundation models on eight clinically relevant chest X-ray interpretation tasks. Through extensive quantitative evaluation and qualitative review by five expert radiologists, CheXagent outperforms previously developed general-purpose and medical domain foundation models on CheXbench tasks.

Rayscape is an advanced radiology artificial intelligence solution that leverages cutting-edge deep learning technology to improve the accuracy and efficiency of X-rays and CT scans. We provide AI-assisted diagnosis for lung cancer screening, diagnostic imaging, and oncology.

Yi Zhen is a medical AI capability open-sharing platform. It aggregates excellent medical AI products and solutions from numerous medical schools, research institutes, hospitals, and healthcare enterprises. Through open APIs, it provides services to the outside world, empowering various industries to obtain medical AI capabilities in the most convenient and efficient manner and enhance their work efficiency.