This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-wo...This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-world study,1,000 patients with pulmonary nodules from 12 hospitals will be recruited for a randomized self-controlled trial evaluating the performance of the two models across eight dimensions:convenience,friendliness,sense of security,accuracy in question comprehension,response professionalism,voice interaction,visual empowerment,and demand level.The core methodologies include dual user evaluation,third-party blinded review,and endpoint assessment.The study was expected to validate BAIMGPT’s advantages in improving screening awareness,personalized management,and physician-patient trust,providing evidence-based support for AI-powered early lung cancer screening.The protocol has passed ethical review,with anonymized data processing ensuring both innovation and safety.展开更多
Wireless Sensor Networks (WSNs) have been applied in many different areas. Energy efficient algorithms and protocols have become one of the most challenging issues for WSN. Many researchers focused on developing energ...Wireless Sensor Networks (WSNs) have been applied in many different areas. Energy efficient algorithms and protocols have become one of the most challenging issues for WSN. Many researchers focused on developing energy efficient clustering algorithms for WSN, but less research has been concerned in the mobile User Equipment (UE) acting as a Cluster Head (CH) for data transmission between cellular networks and WSNs. In this paper, we propose a cellular-assisted UE CH selection algorithm for the WSN, which considers several parameters to choose the optimal UE gateway CH. We analyze the energy cost of data transmission from a sensor node to the next node or gateway and calculate the whole system energy cost for a WSN. Simulation results show that better system performance, in terms of system energy cost and WSNs life time, can be achieved by using interactive optimization with cellular networks.展开更多
文摘This study aims to compare the clinical value of a general large language model(DeepSeek GPT)and a disease-specific optimized model(BAIMGPT)in pulmonary nodule consultation and management.Through a multicenter real-world study,1,000 patients with pulmonary nodules from 12 hospitals will be recruited for a randomized self-controlled trial evaluating the performance of the two models across eight dimensions:convenience,friendliness,sense of security,accuracy in question comprehension,response professionalism,voice interaction,visual empowerment,and demand level.The core methodologies include dual user evaluation,third-party blinded review,and endpoint assessment.The study was expected to validate BAIMGPT’s advantages in improving screening awareness,personalized management,and physician-patient trust,providing evidence-based support for AI-powered early lung cancer screening.The protocol has passed ethical review,with anonymized data processing ensuring both innovation and safety.
基金Supported by the National Science and Technology Major Projects of China (No.2011ZX03005-003-02)Shanghai Natural Science Foundation (No.11ZR-1435100)Shanghai Science and Technology Innovation Program(No.11DZ0512500, 12511503300, 12DZ2250200)
文摘Wireless Sensor Networks (WSNs) have been applied in many different areas. Energy efficient algorithms and protocols have become one of the most challenging issues for WSN. Many researchers focused on developing energy efficient clustering algorithms for WSN, but less research has been concerned in the mobile User Equipment (UE) acting as a Cluster Head (CH) for data transmission between cellular networks and WSNs. In this paper, we propose a cellular-assisted UE CH selection algorithm for the WSN, which considers several parameters to choose the optimal UE gateway CH. We analyze the energy cost of data transmission from a sensor node to the next node or gateway and calculate the whole system energy cost for a WSN. Simulation results show that better system performance, in terms of system energy cost and WSNs life time, can be achieved by using interactive optimization with cellular networks.
