BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Objective:To explore the effectiveness, safety and cost between urinary follicle stimulating hormone (uFSH) and recombinant follicle stimulating hormone (rFSH) in controlled ovarian stimulation (COS) in China.Methods:Data were collected from 16 reproductive centers in China covering oocytes collection time from May 1, 2015 to June 30, 2018. Eligible patients were over 18 years old, adopting COS with uFSH (uFSH group) or rFSH (rFSH group) as start gonadotropins (Gn), and using in vitro fertilization (IVF) and (or) intracytoplasmic sperm injection for fertilisation, excluding frozen embryo recovery cycle. Generalised estimating equation was used to address the violation of independency assumption between cycles due to multiple IVF cycles for one person and clustering nature of cycles carried out within one center. Controlling variables included age, body mass index, anti-Müllerian hormone level, cause of infertility, ovulation protocol, type of fertilisation, number of embryos transferred, number of days of Gn use.Results:Totally 102 061 cycles met eligibility criteria and were included in the analyses. In terms of effectiveness, after controlling relevant unbalanced baseline characteristics, compared with rFSH group, the high oocyte retrieval (>15 oocytes was considered high retrieval) rate of uFSH group significantly decreased in gonadotropin-releasing hormone agonist protocol ( OR=0.642, P<0.01) and in gonadotropin-releasing hormone antagonist protocol ( OR=0.556, P=0.001), but the clinical pregnancy rate per transfer cycle and the live birth rate per transfer cycle significantly increased ( OR=1.179, OR=1.169, both P<0.01) in both agonist and antagonist protocols. For safety, multiple analysis result demonstrated that in the agonist protocol, compared with rFSH group, the incidence of moderate to severe ovarian hyperstimulation syndrome of uFSH group significantly decreased ( OR=0.644, P=0.002). The differences in ectopic pregnancy rate and multiple pregnancy rate between the uFSH and rFSH groups were not significant ( P=0.890, P=0.470) in all patients. In terms of cost, compared with rFSH group, the uFSH group had lower total Gn costs for each patient ( P<0.01). Conclusion:For patients who underwent COS, uFSH has better safety, and economic profiles over rFSH in China.

OBJECTIVE:To optimize the extraction technology of garlic oil. METHODS:Using extraction rate of garlic oil as index,based on single factor test,Box-Behnken response surface method was used to optimize conditions of steam distillation method for the extraction of garlic as fermentation time,solid to liquid ratio,fermentation temperature and the verification test were made for the optimized technology. RESULTS:The optimal extraction technology was as follows as fermentation time of 4.5 h,solid to liquid ratio of 1:7,fermentation temperature of 55 ℃. The average extraction rate of garlic oil in verification test was 0.32%(RSD=1.43%,n=3);the relative error between the measured value and predicted value was 0.06%. CONCLUSIONS:Box-Behnken response surface method is simple,reasonable and feasible to optimize the extraction technology of garlic oil,which can provide a scientific basis for industrial production.

Objective To optimize extraction technology of flavonesingredients from Herba Epimedii by uniform design. Methods Ultraviolet spectrophotometry was adopted to determine the content of total flavonoids. Content of epimedin A, epimedin B,epimedin C,icariin and baohuosideⅠ were determined by HPLC. U10?( 108 ) uniform design was used to conduct the multiple comprehensive evaluation of six ingredients and comprehensively analyze the influence of the concentration and amount of ethanol, extracting time on extraction of flavonesin gredients from Herba Epimedii. Results The uniform design experiment showed that 15-fold weight of 60% ethanol,extracting 2 times and each time with 165 min were the optimum extraction condition. Conclusion The method is easy and reasonable to handle,has stable and reliable results,and good repeatability and feasibility.It can be applied in industrial production.