Core Viewpoint - Zhiyun Health (09955) has demonstrated its strong capabilities in the medical AI sector by successfully entering a key research project focused on generative medical AI models, which is expected to enhance remote decision-making support in healthcare [1] Company Summary - Zhiyun Health's stock rose over 4%, reaching 1.55 HKD with a trading volume of 3.1421 million HKD [1] - The company has been recognized by the Hangzhou Science and Technology Bureau for its project on "Construction of Generative Medical AI Models and Key Technology Research in Remote Decision Support," highlighting its expertise in the medical AI field [1] - The generative medical AI model developed by Zhiyun Health is currently being demonstrated in multiple hospitals across the country, with plans for further expansion in coverage and application depth [1] Industry Summary - The generative medical AI model utilizes IoT perception technology and precise data routing algorithms for medical information transmission, focusing on dynamic data collection for chronic disease patients [1] - The system includes a smart diagnostic assistance system with self-optimizing parameters, enhancing the accuracy and timeliness of remote diagnoses for conditions such as diabetes, cardiovascular diseases, and chronic obstructive pulmonary disease [1] - The overall framework established by the company consists of a closed-loop medical assistance system that integrates data collection, secure transmission, and intelligent decision-making [1]

Core Viewpoint - Zhiyun Health (09955) has demonstrated its strong capabilities in the medical AI sector by successfully entering a key research project focused on generative medical AI models, which is expected to enhance remote decision-making support in healthcare [1] Group 1: Company Developments - Zhiyun Health's stock rose over 4%, reaching HKD 1.55 with a trading volume of HKD 3.1421 million [1] - The company’s project titled "Research on Key Technologies for Constructing Generative Medical AI Models and Their Application in Remote Decision Support" has been officially recognized by the Hangzhou Science and Technology Bureau as part of the 2025 key research plan [1] - The generative medical AI model developed by Zhiyun Health is already being demonstrated in multiple hospitals across the country, with plans for further expansion in coverage and application depth [1] Group 2: Technology and Innovation - The generative medical AI model utilizes IoT perception technology and precise data routing algorithms for medical information transmission [1] - It features a dynamic data collection system for chronic disease patients, establishing a secure transmission channel and data cleaning mechanism for remote healthcare [1] - The intelligent diagnostic assistance system developed by the company employs deep reinforcement learning to optimize decision model parameters in real-time, aiming to improve the accuracy and timeliness of remote diagnoses for conditions such as diabetes, cardiovascular diseases, and chronic obstructive pulmonary disease [1]

Core Viewpoint - Zhiyun Health (09955) has demonstrated its strong capabilities in the medical AI sector by successfully entering a key research project focused on generative medical AI models, as announced by the Hangzhou Science and Technology Bureau [1] Group 1: Company Developments - Zhiyun Health's stock rose over 4%, reaching 1.55 HKD with a trading volume of 3.1421 million HKD [1] - The company’s project titled "Research on Key Technologies for Constructing Generative Medical AI Models and Remote Decision Support" has been officially recognized, highlighting its expertise in the medical AI field [1] Group 2: Technology and Applications - The generative medical AI model developed by Zhiyun Health utilizes IoT perception technology and precise data routing algorithms for medical information transmission [1] - The model has been implemented in several hospitals across the country, with plans for further expansion in coverage and application depth to benefit more medical institutions and patients [1] - The system includes a smart diagnostic assistance feature that optimizes parameters in real-time through deep reinforcement learning, aiming to enhance the accuracy and timeliness of remote diagnoses for chronic diseases such as diabetes, cardiovascular diseases, and chronic obstructive pulmonary disease [1]