超声智能化如何进化？开立声析智能超声大模型给出答案

Core Insights - The article emphasizes that the future of ultrasound imaging should transition from being merely a "strong tool" to an "intelligent partner" that collaborates with doctors throughout the entire workflow [2][3]. Group 1: Technological Evolution - The intelligentization of ultrasound medicine must respond to the structural pressures in the healthcare system, such as increasing examination volumes and the need for enhanced capabilities at the grassroots level [2][3]. - The "Voice Analysis" intelligent ultrasound model was introduced by the company at the recent CSUM2025 conference, marking a significant step in addressing the technological needs of the industry [3][5]. Group 2: Framework of the Voice Analysis Model - The Voice Analysis model is structured around a three-layer architecture: "Hand-Eye-Brain" [8]. - The "Hand" layer focuses on efficient tools for automatic identification and measurement of key anatomical structures, aiming for accuracy and speed in image capture [8][9]. - The "Eye" layer utilizes large language models (LLMs) to create an intelligent diagnostic system that identifies anomalies and generates structured reports [9][10]. - The "Brain" layer acts as a decision-making hub, integrating data from various sources to streamline the ultrasound workflow and provide clinical decision support [10][11]. Group 3: Practical Changes in Clinical Use - The Voice Analysis model has led to significant changes in clinical practice, emphasizing the importance of integrating AI with both equipment and physician workflows [12][14]. - The AURA multi-center project aims to validate the AI-O-RADS system across 41 hospitals, focusing on comparing its diagnostic performance with traditional methods and assessing its clinical value among different levels of physicians [13][16]. Group 4: Addressing Clinical Challenges - In the field of thyroid ultrasound, the article highlights the need for refined risk stratification tools to balance the issues of overdiagnosis and underdiagnosis [18][19]. - A multi-modal approach combining various imaging techniques is proposed to reduce the ambiguity in diagnosing thyroid nodules, thereby minimizing unnecessary procedures [20][22]. Group 5: Future Directions - The article concludes that the ultrasound field is entering a "process-level intelligent era" driven by large models, with the Voice Analysis model representing a leading solution in this transformation [24].