Yuanzhi Healthcare Big Data Model - A multimodal model for the medical field launched by United Imaging Intelligence

What is the Yuanzhi Healthcare Big Model?

The Yuanzhi Healthcare Big Model, launched by United Imaging Intelligence, is a multimodal AI model for the medical field. By integrating data from multiple modalities, including text, images, vision, and speech, it provides deep intelligent solutions for medical scenarios. It comprises five sub-models: the text big model injects medical knowledge into a general model for lightweight deployment; the image big model, trained on massive amounts of medical image data, supports multiple image modal analyses with an accuracy exceeding 95%; the vision big model covers 4D modeling and rendering capabilities; the speech big model accurately recognizes medical terminology in noisy environments and supports multi-person dialogue; and the hybrid big model integrates multimodal capabilities and has been applied to complex surgical scenarios. The Yuanzhi big model can improve medical diagnostic efficiency, optimize treatment processes, support medical research and education, and drive the intelligent development of the medical industry.

The main functions of the Yuanzhi Medical Big Model

• Large medical text modelIt can efficiently handle complex text reasoning tasks, with a size only one-quarter that of the original model, making it convenient for local deployment in hospitals. Medical expertise can be injected into general-purpose large models to improve the efficiency of medical text processing.
• Large medical imaging modelBased on training with massive amounts of medical image data, it supports more than 10 image modalities and more than 300 image processing tasks, with a critical task accuracy of over 95%. In radiology, a single chest CT scan can detect 37 common diseases and abnormalities.
• Large medical vision modelIt possesses capabilities such as 4D modeling and high-speed cinematic rendering, and can accurately depict and reproduce the segmentation of organs and tissues.
• Large medical voice modelIt supports accurate recognition of medical terminology and intelligent voiceprint analysis, can identify professional terms in noisy environments, and supports identity recognition in multi-person dialogue scenarios.
• Hybrid Multimodal Large ModelIt integrates multiple modal capabilities to achieve a seamless intelligent workflow that connects "seeing, hearing, reading, and thinking," and has been implemented in complex medical scenarios.

Technical Features of the Yuanzhi Medical Big Data Model

• Multimodal fusionIt integrates multimodal data such as text, images, vision, voice, and mixed data, and has the ability to "see, hear, read, and think".
• Deeply adapted to medical scenariosBy specializing in specific vertical domains and fine-tuning private domain knowledge, we achieve a high degree of adaptability to medical scenarios.
• Autonomous EvolutionIt can generate self-evolving, multimodal, and adaptive medical intelligent agents according to the needs of different medical scenarios.
• High performance and lightweightTaking the Yuanzhi Medical Text Big Model as an example, its complex reasoning and text processing capabilities have been greatly improved, and the model size is only one-quarter of the original model, making it easy for hospitals to deploy it locally in a lightweight and flexible manner.

Application scenarios of Yuanzhi Medical Big Data Model

• Imaging diagnosisFor example, uMetaImaging, a fully intelligent imaging agent, breaks through the limitations of the traditional "single disease, single application" model, enabling the accurate diagnosis of multiple diseases using a single model. For instance, a single chest CT scan can automatically detect 37 common diseases and abnormalities in multiple locations.
• Clinical treatmentFor example, uAI MERITS multi-functional surgical intelligence can achieve "eye-brain-hand" coordination, and control surgical equipment and robotic arms in real time according to the doctor's voice commands, thereby improving the accuracy and safety of surgery.
• Medical EducationSupporting medical research and education, such as the uAI Research Portal research platform, which provides a one-stop AI analysis tool for medical images.
• Hospital ManagementExamples include uMetaGenesis, an intelligent device management system that assists hospital management by intelligently sensing device status and the environment to optimize resource scheduling and maintenance efficiency.
• Patient servicesExamples include medical record assistants, which use natural language processing technology to help doctors generate and manage medical records efficiently.