Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To investigate the safety and efficacy of pseudomonas aeruginosa Injection (PAI) in the treatment of coeliac leakage after cervical lymph node dissection for robotic thyroid cancer.Methods:Retrospective analysis of 1262 patients who underwent robotic thyroid surgery at the 960th Hospital of the People’s Liberation Army from Jan. 2021 to Aug. 2023 was made. Postoperative celiac leakage happened in 28 patients. The control and injection groups were divided according to whether pseudomonas aeruginosa injection was used or not. In the control group, there were 4 males and 11 females out of 15 patients, with an average age of (46.20±9.02) years old, and the treatment methods of low-fat diet, negative pressure suction, and pressure bandage were used. In the injection group, there were 7 males and 6 females among 13 patients, with an average age of (41.00±8.87) years. They were treated with low-fat diet, negative pressure suction, pressure bandage, and PAI .The number of lymph node dissection, total drainage volume, peak drainage volume, days of hospitalization and the rate of decline in drainage volume within 24 h after the use of PAI in the injection group, post-injection temperature, number of injections, and post-injection extubation time were statistically analyzed in both groups. Independent samples t test, Mann-Whitney U test, χ2 test or Fisher’s exact test were used for comparison between groups. Results:There was no statistically significant difference in age, gender, extent of thyroidectomy, highest daily drainage volume, and total drainage volume between the two groups ( P>0.05). The difference in the number of lymph node dissection (49.15±23.05 vs. 30.80±11.76, P=0.012) and hospitalization time (11.77±4.64 vs. 16.40±6.42, P=0.041) between the injection group and the control group was statistically significant. After the use of pseudomonas aeruginosa injection, the draining fluid decreased from the previous day (69.56± 20.82) % in the injection group; Twelve patients were successfully extubated after one injection of pseudomonas aeruginosa injection, and one patient was successfully extubated after two injections; the mean time to extubation after injection was (3.85±1.28) days; 76.9% patients (10/13) had fever symptoms within 48 h with body temperature (38.05±0.89) ℃ after injection, body temperature returned to normal after symptomatic treatment,and no other adverse reactions occurred except fever. Conclusion:Pseudomonas aeruginosa injection is safe and effective in the treatment of celiac leakage after cervical lymph node dissection for robotic thyroid cancer, effectively reducing cervical drainage and shortening hospitalization days.

Medical device imaging data augmentation is a method of expanding existing datasets by generating new data samples,which is of great significance for improving the performance of artificial intelligence(AI)medical device-related models and clinical application effects.However,traditional data augmentation methods are usually limited by the quality,realism,and diversity of generated samples.Denoising diffusion probabilistic model(DDPM)is a generative model based on the noise diffusion process,and its main idea is to generate samples with high quality by modelling the sampling process of the target distribution as a process of progressive denoising from the noise distribution.The basic principles and working mechanisms of DDPM were reviewed,the application scenarios of this method in AI medical device data augmentation were analyzed,and its advantages,challenges,and future development directions were explored to provide a reference for the field of AI medical device data augmentation.

OBJECTIVE: In order to solve the problem of inadequate CT screening ability in emergency medical rescue in remote mountainous areas, high-altitude areas, other public health events and sudden natural disasters, a vehicle-mounted mobile CT suitable for emergency medical rescue is studied. METHODS: A vehicle chassis system suitable for long-distance transportation and a cabin system suitable for epidemic prevention and control was designed. A domestic 32-slice CT with small volume, light weight and high stability was selected to design a vehicle-mounted mobile CT suitable for emergency medical rescue. RESULTS: The high-performance vehicle-mounted mobile CT can provide rapid support, and provide large-scale screening, emergency medical rescue, a supplement to daily CT scanning in peacetime and wartime. CONCLUSIONS The vehicle CT has high stability, fast scanning speed and high social and economic value.

Building a strong public health system has become an urgent task in the new era. Based on more than eight years of systematic research， we believe that five aspects need to be prioritized for a strong system. First， we should change the perspective on public health， using the word “gonggong jiankang” to replace “gonggong weisheng” and the word “gonggong jiankang tixi” to replace “gonggong weisheng tixi”， to lead the public health system development. Second， we should develop a suitable public health system and continuously improve the health capacity for governance. Third， we should make it clear that the goal of building a strong system is not far-fetched， and we need to consolidate the existing institutional advantages of China’s public health system： when encountering major problems， we can maintain a unified goal and mobilize the whole society to cooperate effectively to accomplish the goal. However， we need to make up for shortcomings one by one， especially to solve the key problem of lacking a strong coordination mechanism in daily work. Fourth， we should pursue excellence and consolidate the“suitable” mechanism proven in the process of coping with the COVID-19， so that efficient mechanisms to deal with major issues can be used in routine work， and efforts should be made to consolidate the advantages of prevention and control of infectious diseases and emergency response，so as to achieve the balanced development of regions categories and units.Finally， it is necessary to strengthen the coordination of government and research institutions， in the aspects of technological innovation， talent team building and accurate consulting services， and work together to pursue a suitable and strong system to realize the modernization of the health system and capacity for governance.

Objective: To explore the correlation between sleep and laryngopharyngeal reflux disease by epidemiological approaches. Methods: From May 1, 2017 to April 30, 2018, data of age, gender, height, weight, smoking, alcohol consumption, constipation and high fat diet in patients in Otorhinolaryngology specialist clinic, the Eighth Medical Center, General Hospital of the Chinese PLA were retrospectively analyzed. Reflux Symptom Index (RSI), Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Scale (HADS)were filled. According to RSI scores, patients were divided into case group and control group. The differences of the above indicators between the two groups were compared by Stata 12.0 software, and the risk factors of LPRD were analyzed by multivariate Logistic regression. Results: A total of 908 patients were enrolled, including 166 in the case group and 742 in the control group. There was no significant difference in BMI, smoking, drinking, constipation and high fat diet between the two groups (all P>0.05). The PSQI, anxiety and depression score of the case group were higher than those of the control group. The anxiety and depression scores of the patients with sleep disorders in the case group were significantly higher than those of the normal sleepers (all P<0.05). RSI of the patients with sleep disorders was higher than that of the patients with normal sleep(9.5[4.0,16.0]vs. 5.0[1.0,10.0], Z=-6.07, P<0.001). Multivariate analysis showed that sleep disorder was the risk factors of LPRD (OR=2.59, 95%CI 1.75-3.84). Conclusions Sleep disorder is related to the occurrence of LPRD. The association between LPRD and sleep disturbances is bidirectional. Sleep disorder may also be related to the anxiety and depression in LPRD patients. Handling sleep disorder timely may benefit LPRD patients.

With the rapid development of medical technology,burn treatment level is also rising.However,large area bum injury with inhalation injury treatment has not yet made a breakthrough,and become the main cause of death in burn patients.Severe shock,infection,multiple organs failure and acute respiratory system injury caused by inhalation injury are the main factors threatening the life of patients.The treatment of large area burn combined with inhalation injury has been the focus of bum and clinical research.Domestic and foreign scholars on large area bum associated with inhalation injury treatment for a large number of studies.In recent years,with the deepening of research,some new treatment concepts have been proposed.The advanced treatment progress of large area burn combined with inhalation injury were reviewed.