Core Viewpoint - The "Lung Care AI Medical Monitoring System" developed by a multidisciplinary team from Anhui Normal University has won the special award at the 19th "Challenge Cup" National College Student Extracurricular Academic Science and Technology Works Competition, marking a historic breakthrough for the university and addressing the healthcare needs of COPD patients [1][2]. Group 1: Project Background and Motivation - The team, led by communication engineering student Yao Jun, established a COPD patient database in collaboration with a local hospital, highlighting the challenges faced by patients who require long-term monitoring and the burdens of traditional medical practices [2]. - Statistics from the National Health Commission indicate that there are nearly 100 million COPD patients in China, with a mortality rate of one person every 10 seconds and a low awareness and testing rate among patients [2]. - The team aimed to create a low-cost, radiation-free home monitoring solution to fill the monitoring gap for patients after hospital discharge, ensuring health protection is not limited by time, space, or economic factors [2][3]. Group 2: Research and Development Process - The project, named "Lung Care," reflects the team's commitment to using technology to make healthcare accessible, aiming to transform traditional medical monitoring into a home-based solution [3]. - The team faced challenges in developing a compact, intelligent, and affordable device, conducting extensive literature reviews and consultations with respiratory specialists to find innovative solutions [4]. - They discovered that non-radiative ultrasound detection could monitor lung structure and physiological parameters, leading to a significant improvement in monitoring accuracy by over 20% compared to traditional methods [4]. Group 3: Technological Innovations - The GSDNet algorithm, developed by Yao Jun, enables AI to identify correlations between lung ultrasound features and disease progression, addressing challenges in dynamic monitoring and early warning systems [5]. - The research has been published in reputable journals and conferences, with four international patents filed, including one that has been granted in the EU [6]. Group 4: Clinical Application and Impact - The team has transitioned from a competition-focused group to a research team, emphasizing the importance of collaboration and practical application of their findings [7]. - The COPD management system provides precise physiological data analysis, creating a health assurance system that enhances the effectiveness of medical services [7]. - Clinical trials in a hospital have shown that the AI monitoring system reduces patient visits, saving time and costs, aligning with the goal of minimizing patient burden [7]. Group 5: Future Aspirations - The team aspires for every COPD patient to afford and utilize their monitoring device, reflecting a commitment to societal responsibility and continuous improvement based on clinical feedback [8].
安徽师大学子研发AI系统 助力慢阻肺居家监测
Xin Lang Cai Jing·2025-12-25 03:02