Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.

Lung cancer is one of the malignant tumours with the highest morbidity and mortality rates worldwide today, posing a major threat to human health. Accurate diagnosis and standardised treatment play a crucial role in improving the survival rate of lung cancer patients. In recent years, the rapid rise of artificial intelligence (AI) has brought about significant changes in the medical field, providing a new diagnostic and treatment model for lung cancer, and making a series of breakthroughs in lung cancer diagnostic imaging, pathological diagnosis, surgical oncology, radiotherapy, and drug development and treatment. This article introduces the current status of AI application in the field of lung cancer diagnosis and treatment, and extensively discusses the current challenges and future prospects, hoping to provide references and suggestions for future clinical practice.

Objective:To systematically evaluate the risk factors for postoperative pulmonary complications (PPCs) in elderly patients undergoing hip fracture surgery.Methods:PubMed, Embase, Cochrance Library, CBM, CNKI and Wanfang Databases were searched.Search strategy was subject word combined with random word.The case control and cohort studies involving the influencing factors for PPCs in elderly patients undergoing hip fracture from January 2000 to November 2020 were retrieved.PPCs included pneumonia, aspiration pneumonitis, pulmonary infections, respiratory failure, atelectasis and pleural effusion, etc.The quality of literatures was assessed by using Newcastle-Ottawa Scale, data were extracted and analysis was performed using RevMan5.3 software.Results:A total of 18 studies were finally enrolled, including 15 case control studies and 3 cohort studies.The results of analysis showed that the advanced age, male, history of smoking, low body mass index, history of cerebrovascular accident, history of chronic obstructive pulmonary disease, history of diabetes, preoperative albumin concentration<35 g/L, preoperative hemoglobin concentration<120 g/L, American Society of Anesthesiologists Physical Status classification≥Ⅲ, operation delay≥48 h and general anesthesia were the risk factors for PPCs ( P<0.05). Conclusions:There are numerous risk factors for PPCs in elderly patients undergoing hip fracture surgery, and advanced age, male, history of smoking, low body mass index, history of cerebrovascular accident, history of chronic obstructive pulmonary disease, history of diabetes, preoperative albumin concentration<35 g/L, preoperative hemoglobin concentration<120 g/L, American Society of Anesthesiologists Physical Status classification≥Ⅲ, operation delay≥48 h and general anesthesia are the risk factors for PPCs in elderly patients undergoing hip fracture surgery.

Objective To compare the lung volume before and after the operation for the treatment of chronic empyema with CT 3-dimensional imaging,and to evaluate its role in the assessment of pulmonary function. Methods A total of 78 patients with chronic empyema from 2000 to 2016 in our hospital were enrolled in this study.The patients were divided into two groups according to the operational styles,with 47 cases in the decortication group and 31 cases in the catheter drainage group respectively.Reformation of the chest CT data was used to determine the lung volumes and the routine pulmonary function tests(PFT)were performed before and after the operation. The lung volumes and the PFT results before and after the operation were compared between the two groups with t test. Then multiple linear regression analysis was applied to test the relationship between the lung volumes and the values of PFT after the operation. Results The mean lung volume of catheter drainage group was(1 548±467)cm3,while it was(1 418±802) cm3for the decortication group preoperatively(t=1.665,P=0.07).After the operation,the mean lung volume of decortication group was(2 677±815)cm3,while it was(2 169±185)cm3for the catheter drainage group. There was statistically significant difference for the increase of lung volume between the two groups after operation(t=2.371,P<0.05).There was no significant difference between the two groups before the operation for the values of the PFT(t=1.467 to 1.874,P>0.05). After the operation, the values of the PFT in the decortication group were higher than those in the catheter drainage group(t=1.990 to 2.799, P<0.05). The changes of postoperative lung volume were positively correlated with the values of the PFT(β=0.312 to 0.701,P<0.05). Conclusions Decortication has a better effect on the lung volume and the pulmonary function for patients suffered from chronic empyema. CT modeling (3-dimensional-imaging) is an effective method for evaluating the pulmonary function of postoperative lung according to the lung volume measurement.

Objective:To establish the quality standard system of Gui Erbai gel based on a method ofa system to multiple evalu-ation and discuss the feasibility of the method used for the quality standard for traditional Chinese medicine. Methods:TLC identifi-cation of Gui Erbai gel was established by one thin layer system. An HPLC method was used to detect 6 active components in Gui Erbai gel. Results:Five active components in the gel could be identified by one thin layers system simultaneously with clear spots and good separation. Six active components in the gel could be determined by the same HPLC system with high accuracy. The average content of podophylotoxin,quercetin,kaempferol,imperatorin,dictamnine and rutin is as follows 0. 154,0. 052,0. 138,0. 051,0. 060,0. 048 mg· g-1 . RSD<3％. Conclusion:The established method based on a system to multiple evaluation can be used for the quality standard establishment for Gui Erbai gel with the properties of promising feasibility, simple operation, low cost, high accuracy and good stabili-ty.