[Purpose]To explore the association between body weight change and long-term risk of esophageal cancer mortality based on Linxian General Population Nutrition Intervention study.[Methods]A total of 21 028 healthy residents aged 40～69 years old at baseline in Linxian of Henan Province were recruited as the study cohort,their body weight were measured in late 1985 and early 1991,and the esophageal cancer mortality was prospectively followed up until March 2016.The cohort was divided into four groups according to weight difference between the two measure-ments,the body weight maintenance group(change＜2 kg)was used as the reference group.The Cox proportional risk model was used to estimate the hazard ratio(HR)and 95％confidence inter-val(CI)for death from esophageal cancer in the weight loss ≥2 kg group,weight gain 2～5 kg group and weight gain ≥5 kg group.[Results]A total of 1 681 esophageal cancer deaths oc-curred during the follow-up after the last weight measurement.After adjusting for baseline age and sex,the risk of esophageal cancer death was 13％(HR=0.87,95％CI:0.77～1.00)and 16％(HR=0.84,95％CI:0.72～1.00)lower in the weight gain 2～5 kg and ≥5 kg groups compared to the weight maintenance group,respectively.The risk of esophageal cancer death was 23％higher in the weight loss ≥2 kg group than in the weight maintenance group(HR=1.23,95％CI:1.09～1.38).After adjusting for age,sex,baseline BMI group,smoking status,alcohol consumption,family history of cancer,education level,commune and nutritional intervention arms,weight loss ≥2 kg was still associated with a significantly increased risk of esophageal cancer death(HR=1.19,95％CI:1.06～1.34).Subgroup analysis showed there was no statistically significant interaction between changes in body weight and age,sex,and baseline BMI status on the risk of esophageal cancer death.[Conclusion]Weight loss is associated with an increased risk of esophageal cancer death.People in the high incidence area of esophageal squamous cell carcinoma should maintain their current weight or gain weight appropriately while maintaining a healthy weight state to reduce the risk of esophageal cancer death.

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

[Purpose]To explore the association between body weight change and long-term risk of esophageal cancer mortality based on Linxian General Population Nutrition Intervention study.[Methods]A total of 21 028 healthy residents aged 40～69 years old at baseline in Linxian of Henan Province were recruited as the study cohort,their body weight were measured in late 1985 and early 1991,and the esophageal cancer mortality was prospectively followed up until March 2016.The cohort was divided into four groups according to weight difference between the two measure-ments,the body weight maintenance group(change＜2 kg)was used as the reference group.The Cox proportional risk model was used to estimate the hazard ratio(HR)and 95％confidence inter-val(CI)for death from esophageal cancer in the weight loss ≥2 kg group,weight gain 2～5 kg group and weight gain ≥5 kg group.[Results]A total of 1 681 esophageal cancer deaths oc-curred during the follow-up after the last weight measurement.After adjusting for baseline age and sex,the risk of esophageal cancer death was 13％(HR=0.87,95％CI:0.77～1.00)and 16％(HR=0.84,95％CI:0.72～1.00)lower in the weight gain 2～5 kg and ≥5 kg groups compared to the weight maintenance group,respectively.The risk of esophageal cancer death was 23％higher in the weight loss ≥2 kg group than in the weight maintenance group(HR=1.23,95％CI:1.09～1.38).After adjusting for age,sex,baseline BMI group,smoking status,alcohol consumption,family history of cancer,education level,commune and nutritional intervention arms,weight loss ≥2 kg was still associated with a significantly increased risk of esophageal cancer death(HR=1.19,95％CI:1.06～1.34).Subgroup analysis showed there was no statistically significant interaction between changes in body weight and age,sex,and baseline BMI status on the risk of esophageal cancer death.[Conclusion]Weight loss is associated with an increased risk of esophageal cancer death.People in the high incidence area of esophageal squamous cell carcinoma should maintain their current weight or gain weight appropriately while maintaining a healthy weight state to reduce the risk of esophageal cancer death.

Objective:To evaluate the diagnostic performance of artificial intelligence-assisted diagnostic systems in cervical cytopathological examination.Methods:Cervical cytology slide data were retrospectively collected from four hospitals for the external validation of the developed artificial intelligence-assisted diagnostic system. Subsequently, prospective data collection was conducted for human-machine assisted studies.Results:In the retrospective study, a total of 3 162 valid samples were collected as external validation data. The system showed an area under the curve (AUC) of 0.890 (95% CI: 0.878-0.902), accuracy of 0.885 (95% CI: 0.873-0.896), sensitivity of 0.928 (95% CI: 0.914-0.941), and specificity of 0.852 (95% CI: 0.834-0.867). In the prospective study, 212 valid samples were collected, and five junior cytologists participated in the human-machine assisted study. Without artificial intelligence assistance, the average AUC for the five cytologists was 0.686 (95% CI: 0.650-0.722), the accuracy was 0.699 (95% CI: 0.671-0.727), the sensitivity was 0.653 (95% CI: 0.599-0.703), the specificity was 0.719 (95% CI: 0.685-0.750), the Fleiss κ value was 0.510, and the reading time was 223 seconds. With artificial intelligence assistance, the AUC, accuracy, sensitivity, and specificity increased by 0.166, 0.143, 0.225, and 0.107, respectively. Additionally, Fleiss κ was 0.730 and the reading time decreased by 188 seconds. All differences were statistically significant (all P<0.001). Conclusions:Artificial intelligence-assisted diagnosis system shows excellent performance and good generalizability, significantly improving the diagnostic accuracy, consistency, and efficiency of junior cytologists. It can be an effective auxiliary tool for junior cytologists in clinical practice.

Objective:To explore the clinical characteristics of adrenal lesions in unilateral primary aldosteronism.Methods:This is a prospective study. Consecutive patients diagnosed with unilateral primary aldosteronism at the First Affiliated Hospital of Chongqing Medical University from December 2023 to November 2024 were included. Inclusion criteria：① Age is 18 to 80 years old；② The laboratory test indicators are in line with the diagnosis of primary aldosteronism；③ The auxiliary examination proved that only one side was involved；④ Patient undergo unilateral total adrenalectomy. The exclusion criteria are as follows：① Complete biochemical remission was not achieved during the 1-6 month follow-up after the surgery；② Postoperative loss to follow-up；③ No surgical specimens were received or the surgical specimens were incomplete，making continuous sectioning impossible. Patients meeting the inclusion criteria were recruited，and their clinical and biochemical data were recorded. The number of adrenal nodules visible on CT scans and the number of macroscopically visible nodules in the postoperative adrenal gross specimens were documented. Hematoxylin-eosin（HE）staining and aldosterone synthase CYP11B2 immunohistochemical staining were performed on the adrenal tissues after the operation. The number of nodules visible under the light microscope and the number of CYP11B2-positive nodules were recorded.Results:A total of 114 cases were included in this study. The age of the patients was（49.86 ± 9.80）years，the body mass index was（25.49 ± 3.40）kg/m2，the preoperative aldosterone level was 352（2012，556）pg/ml，and the direct renin concentration was 1.63（0.50，4.56）μIU/ml. The aldosterone/renin ratio was 224.9（57.1，641.6）（aldosterone concentration unit was pg/ml，renin concentration unit was μIU/ml），the minimum blood potassium concentration was 2.87（2.50，3.40）mmol/L，and the systolic blood pressure was（144.5 ± 19.5）mmHg. Among the 114 patients，105 had adrenal nodules detected by preoperative CT，of whom 2（1.75%）had multiple nodules. Postoperative gross adrenal specimen evaluation and CYP11B2 immunohistochemical staining revealed that 90 out of 114 cases were solitary nodules，2 cases had no nodules，and 22 cases（19.30%）had multiple nodules detected（17 cases had 2 nodules and 5 cases had 3 nodules）. Among them，12 cases（10.53%）presented as grossly visible multinodular lesions，while 10 cases（8.77%）appeared as solitary nodules macroscopically but demonstrated multinodular patterns on immunohistochemical staining. CYP11B2 staining showed that among the 22 patients with multiple nodules，13 had multiple CYP11B2-positive nodules，while the remaining had only one positive nodule. Among the 22 patients with multiple nodules，preoperative CT showed single nodules in 19 cases，hyperplasia in 1 case，and multiple nodules in 2 cases（9.09%）. Among the 12 patients with grossly visible multinodular lesions，preoperative CT showed single nodules in 9 cases，hyperplasia in 1 case，and multiple nodules in 2 cases（16.67%）.Conclusions:Multiple adrenal nodules associated with unilateral primary aldosteronism are relatively common，and are often not detected by preoperative CT examination. Partial adrenalectomy based solely on CT-visible nodules may fail to achieve complete remission of primary aldosteronism. This study provides evidence supporting total adrenalectomy as the preferred surgical approach for unilateral primary aldosteronism.

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

Objective:To explore the clinical characteristics of adrenal lesions in unilateral primary aldosteronism.Methods:This is a prospective study. Consecutive patients diagnosed with unilateral primary aldosteronism at the First Affiliated Hospital of Chongqing Medical University from December 2023 to November 2024 were included. Inclusion criteria：① Age is 18 to 80 years old；② The laboratory test indicators are in line with the diagnosis of primary aldosteronism；③ The auxiliary examination proved that only one side was involved；④ Patient undergo unilateral total adrenalectomy. The exclusion criteria are as follows：① Complete biochemical remission was not achieved during the 1-6 month follow-up after the surgery；② Postoperative loss to follow-up；③ No surgical specimens were received or the surgical specimens were incomplete，making continuous sectioning impossible. Patients meeting the inclusion criteria were recruited，and their clinical and biochemical data were recorded. The number of adrenal nodules visible on CT scans and the number of macroscopically visible nodules in the postoperative adrenal gross specimens were documented. Hematoxylin-eosin（HE）staining and aldosterone synthase CYP11B2 immunohistochemical staining were performed on the adrenal tissues after the operation. The number of nodules visible under the light microscope and the number of CYP11B2-positive nodules were recorded.Results:A total of 114 cases were included in this study. The age of the patients was（49.86 ± 9.80）years，the body mass index was（25.49 ± 3.40）kg/m2，the preoperative aldosterone level was 352（2012，556）pg/ml，and the direct renin concentration was 1.63（0.50，4.56）μIU/ml. The aldosterone/renin ratio was 224.9（57.1，641.6）（aldosterone concentration unit was pg/ml，renin concentration unit was μIU/ml），the minimum blood potassium concentration was 2.87（2.50，3.40）mmol/L，and the systolic blood pressure was（144.5 ± 19.5）mmHg. Among the 114 patients，105 had adrenal nodules detected by preoperative CT，of whom 2（1.75%）had multiple nodules. Postoperative gross adrenal specimen evaluation and CYP11B2 immunohistochemical staining revealed that 90 out of 114 cases were solitary nodules，2 cases had no nodules，and 22 cases（19.30%）had multiple nodules detected（17 cases had 2 nodules and 5 cases had 3 nodules）. Among them，12 cases（10.53%）presented as grossly visible multinodular lesions，while 10 cases（8.77%）appeared as solitary nodules macroscopically but demonstrated multinodular patterns on immunohistochemical staining. CYP11B2 staining showed that among the 22 patients with multiple nodules，13 had multiple CYP11B2-positive nodules，while the remaining had only one positive nodule. Among the 22 patients with multiple nodules，preoperative CT showed single nodules in 19 cases，hyperplasia in 1 case，and multiple nodules in 2 cases（9.09%）. Among the 12 patients with grossly visible multinodular lesions，preoperative CT showed single nodules in 9 cases，hyperplasia in 1 case，and multiple nodules in 2 cases（16.67%）.Conclusions:Multiple adrenal nodules associated with unilateral primary aldosteronism are relatively common，and are often not detected by preoperative CT examination. Partial adrenalectomy based solely on CT-visible nodules may fail to achieve complete remission of primary aldosteronism. This study provides evidence supporting total adrenalectomy as the preferred surgical approach for unilateral primary aldosteronism.

Background::Whether the dynamic weight change is an independent risk factor for mortality remains controversial. This study aimed to examine the association between weight change and risk of all-cause and cause-specific mortality based on the Linxian Nutrition Intervention Trial (NIT) cohort.Methods::Body weight of 21,028 healthy residents of Linxian, Henan province, aged 40-69 years was measured two times from 1986 to 1991. Outcome events were prospectively collected up to 2016. Weight maintenance group (weight change <2 kg) or stable normal weight group was treated as the reference. Cox proportional hazard model was performed to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) to estimate the risk of mortality.Results::A total of 21,028 subjects were included in the final analysis. Compared with the weight maintenance group, subjects with weight loss ≥2 kg had an increased risk of death from all-cause (HR All-cause = 1.14, 95% CI: 1.09-1.19, P <0.001), cancer (HR Cancer = 1.12, 95% CI: 1.03-1.21, P = 0.009), and heart disease (HR Heart diseases = 1.21, 95% CI: 1.11-1.31, P <0.001), whereas subjects with weight gain ≥5 kg had 11% (HR Cancer = 0.89, 95% CI: 0.79-0.99, P = 0.033) lower risk of cancer mortality and 23% higher risk of stroke mortality (HR Stroke = 1.23,95% CI: 1.12-1.34, P <0.001). For the change of weight status, both going from overweight to normal weight and becoming underweight within 5 years could increase the risk of total death (HR Overweight to normal = 1.18, 95% CI: 1.09-1.27; HR Becoming underweight = 1.35, 95% CI: 1.25-1.46) and cancer death (HR Overweight to normal = 1.20, 95% CI: 1.04-1.39; HR Becoming underweight = 1.44, 95% CI: 1.24-1.67), while stable overweight could increase the risk of total death (HR Stable overweight = 1.11, 95% CI: 1.05-1.17) and death from stroke (HR Stable overweight = 1.44, 95% CI: 1.33-1.56). Interaction effects were observed between age and weight change on cancer mortality, as well as between baseline BMI and weight change on all-cause, heart disease, and stroke mortality (all Pinteraction <0.01). Conclusions::Weight loss was associated with an increased risk of all-cause, cancer, and heart disease mortality, whereas excessive weight gain and stable overweight were associated with a higher risk of stroke mortality. Efforts of weight management should be taken to improve health status.Trial registration::https://classic.clinicaltrials.gov/, NCT00342654.