Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

Objective:To evaluate the effect of general anesthesia guided by bispectral index (BIS) on postoperative sleep quality in elderly patients undergoing laparoscopic gastrointestinal tumor surgery.Methods:A total of 90 patients, aged 65-80 yr, with body mass index of 18-25 kg/m 2, of American Society of Anesthesiology physical status Ⅰ-Ⅲ, without preoperative sleep disorders, undergoing elective laparoscopic gastrointestinal tumor surgery, were divided into 3 groups ( n=30 each) using a random number table method: control group (group C) and different BIS value groups (group B1 and group B2). Combined intravenous-inhalational anesthesia was used.The BIS value in group B1 was maintained at 40-49, and the BIS value in group B2 was maintained at 50-60.The fluctuation range of heart rate and blood pressure was not more than 20% of the baseline, and vasoactive agents were administered when necessary in group C. Patient-controlled intravenous analgesia was performed with sufentanil, dezocine and palonosetron after surgery.When visual analog scale score>3, acetaminophen oxycodone tablets 5 mg was taken orally or flurbiprofen 50 mg was intravenously injected as rescue analgesic.At 1 day before surgery and 1, 3, 7 and 30 days after surgery, sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), postoperative sleep disorders were defined as PSQI scone≥6, and the development of postoperative sleep disorders was recorded.During the nighttime at 1 day before surgery and during the nighttime at 1, 2 and 3 days after surgery, sleep was monitored using body motion monitor (Honor Band 5). The intraoperative consumption of propofol and remifentanil and requirement for rescue analgesia at 48 h after surgery were recorded.The Quality of Recovery-15 (QoR-15) scores were measured at 1, 3 and 7 days after surgery.At 1 day before surgery and at 1 day after surgery, serum C-reactive protein concentrations were determined by immunoturbidimetry. Results:Compared with group C, PSQI scores were significantly decreased at 1 and 3 days after surgery, the incidence of sleep disorders was decreased at 3 days after surgery, sleep time, sleep score and proportion of rapid eye movement sleep time during the nighttime at 1 and 2 days after surgery were increased, intraoperative consumption of propofol was decreased, QoR-15 score at each time point after surgery was increased, and postoperative length of hospital stay was prolonged in group B2 and group B2 ( P<0.05). Compared with group B1, PSQI scores were significantly decreased at 1 and 3 days after surgery, sleep time, sleep score and proportion of rapid eye movement sleep time during the nighttime at 1 and 2 days after surgery were increased, intraoperative consumption of propofol was decreased, QoR-15 score at each time point after surgery was increased ( P<0.05), and no significant change was found in the incidence of sleep disorders at each time point in group B2 ( P>0.05). There was no significant difference in CPR concentrations and the number of rescue analgesia after surgery at each time point among the 3 groups ( P>0.05). Conclusion:General anesthesia guided by BIS can improve postoperative sleep quality in elderly patients undergoing laparoscopic gastrointestinal tumor surgery, and BIS value maintained at 50-60 provides better effect on postoperative sleep quality and is more helpful for postoperative recovery.

Objective To explore the correlation between serum level of cystatin C and coronary slow flow (CSF).Methods Thirty-four patients with CSF were enrolled in CSF group and thirty-five patients with normal coronary flow and angiographically normal coronary arteries were enrolled in control group.Coronary flow patterns was assessed by corrected thrombolysis in myocardial infarction (TIMI) frame count.The change of serum high sensitivity C-reactive protein,uric acid,cystatin C were measured.Results There was no significant difference between two groups with respect to gender,age,history of smoking,prevalence of hypertension and diabetes mellitus,family history of coronary heart disease,low density lipoprotein,α-lipoprotein (P ＞0.05).Compared with control group,the level of serum high sensitivity C-reactive protein,cystatin C,uric acid in CSF group were obviously higher [(4.85 ± 6.39) mg/L vs.(2.55 ± 2.18) mg/L,(0.87 ± 0.22) mg/L vs.(0.75 ± 0.16) mg/L,(329.68 ± 85.46) μ mol/L vs.(278.97 ± 76.74) μ mol/L] (P ＜ 0.05 or ＜ 0.01).Logistic regression analysis showed that cystatin C increased as independent risk factors for CSF (P =0.002,OR =0.009).Conclusion High level of cystatin C may play an important role in the occurrence and development of CSF.

Clinical Clerkship is the necessary stage from theory to clinical practice,As teaching hospital of Nanjing Medical University.we explore various kinds of methods of clinical practice quality improvement by emphasizing practice training,developing multiform teaching activities,highhghting autonomic learning and strengthening intemship management.