Midea Group accelerates its AI medical layout. Its Midea Medical recently officially launched a "Multi-modal Intelligent Diagnostic Large Model" with complete independent intellectual property rights, marking a key breakthrough in its core smart medical field. The model can now automatically detect common chest diseases such as tuberculosis, pneumonia, pneumothorax, and fractures in one go, and can generate structured diagnostic reports, significantly improving the efficiency and consistency of diagnosis at grassroots medical institutions.
Differing from most AI imaging systems that rely on a single deployment mode, the research and development team of Wanliyun under Midea Medical has innovatively adopted a "dual-level" model architecture — that is, providing both lightweight device-side models and high-precision cloud-based models. The former can run locally on DR equipment, meeting real-time diagnostic needs in environments with no network or weak network coverage; the latter relies on cloud computing power to handle complex cases, supporting high concurrency and continuous learning. This flexible deployment strategy significantly enhances the product's clinical adaptability across different levels of hospitals.
Currently, the model focuses on chest DR (digital X-ray) images and has been tested in several cooperating hospitals. According to the plan, it will expand to the orthopedic DR field by 2026, supporting intelligent identification of various fractures and joint lesions; in the medium to long term, it will gradually cover multi-modal imaging such as CT and MRI, building an intelligent diagnostic platform covering the entire body and multiple diseases.
Against the backdrop of increasingly stringent regulation of AI medical technology and rising data security requirements, Midea Medical emphasizes that the model achieves localization and self-controlled from algorithm, training data to the deployment system, aligning with the national development orientation of "safe, trustworthy, and implementable" for medical AI. This move not only strengthens the technical barriers of Midea in the integrated strategy of "Smart Healthcare + High-end Manufacturing," but also provides a new model for the large-scale application of domestic medical AI in grassroots healthcare.
