With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

AIM To investigate the mechanism of Jiedu Yizhi Formula on cognitive function and neuroinflammation in a mouse model of Alzheimer's disease(AD).METHODS 50 APP/PS1 double transgenic mice were randomly divided into the model group,the donepezil group,and the low-dose,moderate-dose,and high-dose Jiedu Yizhi Formula group(1.78,3.56 and 7.12 g/kg),with 10 mice in each group,in contrast to the 10 WT mice of the blank group.Following anesthesia administration and 8-week oral gavage regimen with respective drugs,all mice underwent final tissue sample collection.The mice had their learning and memory ability assessed by Morris water maze and nesting behavior scores;their pathology of brain tissue and Aβ expression observed using HE,Nissl and IHC staining;their polarization of microglia and the expression of inflammatory factors in hippocampal tissue detected by IF and ELISA;their hippocampal expression of PI3K/Akt/mTOR signaling pathway detected by RT-qPCR and Western blot.RESULTS Compared with the blank group,the model group had lower scores in total swimming distance,frequency in crossing the platform,residence time in the target quadrant,and nesting behavior scores(P＜0.05,P＜0.01);prolonged evasion latency(P＜0.01);more disorganized arrangement of pyramidal cells,solidification and deep staining,unclear demarcation,irregular cell shapes,reduction of Nyctinidia,and increased Aβ deposition in the brain tissue(P＜0.01);elevated expression of hippocampal microglia M1-type markers CD16/32 and lba-1(P＜0.01);decreased levels of M2-type marker CD206(P＜0.05);elevated levels of TNF-α and IL-1β(P＜0.01);decreased expressions of IL-13 and IL-4(P＜0.01);and decreased levels of PI3K,Akt and mTOR mRNA,and reduced p-PI3K,p-Akt and p-mTOR protein expressions(P＜0.01).Compared to the model group,the donepezil group and the Jiedu Yizhi Formula groups showed statistically significant improvements in the aforementioned indexes(P＜0.05,P＜0.01),with the magnitude of improvement being higher in the high-dose Jiedu Yizhi Formula group.CONCLUSION Jiedu Yizhi Formula suppresses microglia Ml-type polarization while enhancing M2-type polarization via activation the PI3K/Akt/mTOR signaling pathway,which subsequently reduces inflammatory cytokine secretion.This mechanism attenuates Aβ deposition in brain tissues and ameliorates cognitive dysfunction in AD mouse models.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.

Objective:To investigate the change trend of hepatectomy for hepatocellular carcinoma and efficacy of fluorescent laparoscopic hepatectomy in a single center from 2014?2023.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 17 232 patients of hepatocellular carcinoma who were admitted to Zhongshan Hospital of Fudan University from January 2014 to December 2023 were collected. There were 14 404 males and 2 828 females, aged 58(range, 11?94)years. Observation indicators: (1) change trend of hepatectomy for hepatocellular carcinoma and application of fluorescent laparoscopy in 2014?2023; (2) propensity score matching between patients undergoing fluorescent and conventional laparoscopic hepatectomy; (3) intraoperative and postoperative conditions of patients in the fluorescent laparoscopy group and the conventional laparoscopy group after propensity score matching. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶3 nearest neighbor matching method, with the caliper value of 0.01. Results:(1) Change trend of hepatectomy for hepatocellular carcinoma and application of fluorescent laparoscopy in 2014-2023. Among 17 232 patients of hepatocellular carcinoma, 4 074 cases underwent laparoscopic surgery, and 13 158 cases underwent open surgery or conversion from laparoscopic to open surgery. From 2014 to 2023, the proportions of laparos-copic surgery in hepatectomy were 8.993%(117/1 301), 6.804%(99/1 455), 9.379%(145/1 546), 17.511%(287/1 639), 23.828%(427/1 792), 24.572%(459/1 868), 29.662%(544/1 834), 31.568%(584/1 850), 38.080%(599/1 573), and 34.246%(813/2 374), respectively. The proportions of Grade Ⅲ surgery in laparoscopic hepatectomy were 11.966%(14/117), 7.071%(7/99), 12.414%(18/145), 21.254%(61/287), 28.337%(121/427), 27.887%(128/459), 34.375%(187/544), 34.644%(214/584), 35.726%(214/599), and 42.681%(347/813), respectively. From 2016 to 2023, the proportions of the application of fluorescent laparoscopy in laparoscopic hepatectomy were 2.069%(3/145), 5.923%(17/287), 8.431%(36/427), 10.022%(46/459), 17.647%(96/544), 24.829%(145/584), 9.182%(55/599), and 12.915%(105/813), respectively. (2) Propensity score matching between patients undergoing fluorescent and conventional laparoscopic hepatectomy. Among the 4 074 patients who underwent laparoscopic liver resection, 503 cases using fluorescent laparoscopy were assigned to the fluorescent laparoscopy group, 3 571 cases using conventional laparoscopy were assigned to the conventional laparoscopy group. A total of 1 794 patients were successfully matched, with 483 cases in the fluorescent laparoscopy group and 1 311 cases in the conventional laparoscopy group. After propensity score matching, the confounding biases of the maximum tumor diameter and the year of surgery were eliminated, and the two groups were comparable. (3) Intraoperative and postoperative conditions of patients in the fluorescent laparoscopy group and the conventional laparoscopy group after propensity score matching. After propensity score matching, there was no perioperative death in either the fluorescent laparoscopy group or the conventional laparoscopy group.The operation time of patients in the fluorescent laparoscopy group was 240(150,328)minutes, the portal triad clamping time was 30(15,45)minutes, the volume of intraoperative blood loss was 50(30,100)mL, the number of patients with complication 72, respectively. For patients in the conventional laparoscopy group, the above indicators were 180(131,240)minutes, 23(15,30)minutes, 55(50,100)mL, and 248, respectively. There were significant differences in the above indicators between the two groups ( Z=?7.593, ?7.372, ?4.941, χ2=3.873, P<0.05). Conclusion:The proportion and difficulty level of laparoscopic hepatectomy for hepatocellular carcinoma in Zhongshan Hospital of Fudan University have shown an upward trend during 2014?2023. Compared with conventional laparoscopy, patients undergoing fluorescent laparoscopic hepatectomy have longer operation time and portal triad clamping time, but less intraoperative blood loss and lower iproportion of complications.

Objective:To investigate the predictive efficacy of Delta radiomics for the patholo-gical complete remission (pCR) of pancreatic cancer after total neoadjuvant therapy (TNT).Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients with pancreatic cancer who were admitted to Henan Provincial People′s Hospital (Zhengzhou University People's Hspital) from January 2019 to September 2024 were collected. There were 166 males and 97 females, aged (56±12)years. All patients underwent TNT. The 263 patients were randomly divided into a training set of 184 cases and a test set of 79 cases using a 7∶3 random seed count. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) postoperative and follow-up condi-tions; (2) imaging feature selection and model construction; (3) evaluation of predictive efficacy of different radiomic models. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. The Kaplan-Meier method was used to calculate the survival rate and draw survival curve. The Log-rank test was used for survival analysis. The perfor-mance of the prediction model for pCR after TNT was evaluated using the receiver operator charac-teristic (ROC) curve, precision-recall (P-R) curve and Bootstrap method, along with the calculation of area under the curve (AUC), precision rate, recall rate, F1-score. Results:(1) Postoperative and follow-up conditions. All 263 patients underwent surgery after TNT, with pathological examination revealing 124 cases of pCR (86 cases in the training set, 38 cases in the test set) and 139 cases of non-pCR (98 cases in the training set, 41 cases in the test set), respectively. All 263 patients were followed up for 6(range, 3-12) months after surgery, of which 15 cases (4 cases of pCR and 11 cases of non-pCR) were lost to follow-up or died due to non-tumor reasons within 6 months after surgery. The postoperative 6-month recurrence-free survival rate of 124 pCR patients and 139 non-pCR patients were 80% and 50%, respectively, showing a significant difference between the two groups of patients ( χ2=22.84, P<0.05). (2) Imaging feature selection and model construction. Construction of the traditional radiology model: based on the response evaluation criteria in solid tumors 1.1, the Logistic regression model was constructed using the relative shrinkage (D%) as a predictive variable. The AUC of traditional radiology model was 0.72 [95% confidence interval ( CI) as 0.63?0.81] in the training set and 0.75 (95% CI as 0.66?0.84) in the test set, respectively. Construction of the Delta radiomics model: 10 non-zero coefficient features were selected. The Delta radiomics models were constructed by using the regularized Logistic regression, random forest, gradient boosting machine, and support vector machine algorithms through using selected features as input variables. (3) Evaluation of predictive efficacy of different radiomic models. The AUC of Delta radiomics model constructed by regularized Logistic regression algorithm in the test set for predicting pCR in pancreatic cancer after TNT was 0.90, higher than that of the random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm (AUC as 0.81, 0.81, 0.83), and higher than that of the traditional radiology model (AUC as 0.72). Results of Bootstrap method revealed significant differences in the predictive efficacy of Delta radiomics model constructed by regularized Logistic regression algorithm compared to the Delta radiomics model constructed by random forest algorithm, gradient boosting machine algorithm, support vector machine algorithm and the tradi-tional radiology model (95% CI as 0.03?0.16, 0.03?0.16, 0.03?0.13, 0.08?0.29, P<0.05). The regularized Logistic regression algorithm within the Delta radiomics model demonstrated the best overall performance among the above models evaluated. Conclusion:Compared to the traditional radiology model, the Delta radiomics model offers superior efficacy in predicting pCR of pancreatic cancer after TNT, in which the regularized Logistic regression algorithm demonstrates the best overall performance metrics.

Objective To explore the optimal warning threshold of motor evoked potentials(MEP)in decompression surgery for ossification of the posterior longitudinal ligament(OPLL)at cervical and thoracic segments,and the predictive role of different MEP parameters on postoperative lower extremity motor function.Methods A retrospective analysis was conducted on the clinical data of 227 patients diagnosed with cervical or thoracic OPLL and underwent decompression surgery from January 2022 to January 2024 in the hospital.There were 131 males and 96 females,with an average age of(60±10)years.All patients underwent continuous neuro-physiological monitoring during the operation,and the minimum ratio of MEP amplitude change to the baseline at the beginning of the operation(Dmax)and the ratio of MEP terminal amplitude change to the baseline at the end of the operation(Dend)were recorded.The correlations between these two ratios and the lower extremity motor func-tion immediately after the operation and at 1 year were compared.According to the Medical Research Council muscle strength score(MRC)standard,a postoperative score increase of≥1 point compared to preoperative was defined as postoperative motor dysfunction.Pearson correlation coefficients were used to evaluate the correlations between Dmax and Dend and the lower extremity motor function immediately after the operation and at 1 year.Receiver operating characteristic(ROC)curves were drawn to predict postoperative lower extremity motor dysfunc-tion using Dmax and Dend.Results Among the 227 patients,186 had cervical OPLL and 41 had thoracic OPLL.The incidence of lower extremity motor dysfunction immediately after the operation and at 1 year was 7 cases(3.76%)and 2 cases(1.08%)in the cervical group,and 9 cases(21.95%)and 3 cases(7.32%)in the thoracic group,respectively.The incidence of lower extremity motor dysfunction in the thoracic group was higher than that in the cervical group(P<0.001).The baseline induction rate of bilateral lower extremity MEPs was 98.92%(368/372)in the cervical group and 96.34%(79/82)in the thoracic group.The Pearson correlation coefficients of Dend with the bilateral lower extremity motor function immediately after the operation in the cervical and thoracic groups were both greater than those of Dmax,and the differences were statistically significant(cervical group:r=0.669,0.517,P=0.001 2;thoracic group:r=0.882,0.727,P=0.003 6),while the differences in the Pearson corre-lation coefficients of Dend and Dmax with the bilateral lower extremity motor function at 1 year were not statistically significant(cervical group:r=0.457,0.352,P=0.088;thoracic group:r=0.760,0.625,P=0.098).The cut-off values of Dend for the cervical group were 0.853 immediately after the operation and at 1 year,and the cut-off values of Dmax were 0.881 and 0.978,respectively.For the thoracic group,the cut-off values of Dend were 0.532 immediately after the operation and 0.639 at 1 year,and the cut-off values of Dmax were 0.532 and 0.640,respec-tively.Conclusions In OPLL surgery,the MEP monitoring strategy should be adjusted according to the surgical segment.For the cervical segment,Dmax should be emphasized to balance high sensitivity and specificity,while for the thoracic segment,Dmax or Dend can be flexibly selected.Higher MEP warning thresholds are required for cervical OPLL surgery(Dmax:0.881 immediately after the operation and 0.978 at 1 year;Dend:0.853),while significantly lower thresholds are needed for thoracic OPLL(Dmax/Dend:0.532 immediately after the operation and 0.640 at 1 year).

Objective To explore the role of miR-1260b targeting activating transcription factor 6β(ATF6β)in osteogenic differentia-tion of human periodontal ligament stem cells(hPDLSCs).Methods The periodontal ligament tissue was scraped from the third molar extracted from the patient with periodontitis,and hPDLSCs were isolated and cultured.The proportions of positive cells of CD34,CD45,CD29,CD90 and CD105 were detected by flow cytometry,and the expression of vimentin and pan-cytokeratin were detected by immunofluo-rescence staining.The cellular luciferase activities of ATF6β-WT and ATF6β-MUT in the miR-1260b mimic+WT/MUT group(transfected with miR-1260b mimic and ATF6β-WT/MUT)and the mimic-NC group(transfected with miR-NC and ATF6β-WT/MUT)were analyzed by the dual luciferase reporter gene assay.In addition,the cells were divided into the miR-1260b mimic group(transfected with miR-1260b mimic alone),the ATF6β-OE group(transfected with the ATF6β overexpression vector alone),the combined group(transfected with miR-1260b mimic and ATF6β overexpression vector simultaneously),and the NC group(transfected with empty vector).Alizarin red S staining and alkaline phosphatase staining were performed on hPDLSCs in the NC group,the miR-1260b mimic group,the ATF6β-OE group and the combined group.Meanwhile,the mRNA expression levels of miR-1260b,ATF6β,Runt-related transcription factor 2(Runx2),osteocalcin(OCN),and osteopontin(OPN)in each group of cells were detected by qRT-PCR.The protein expressions of glucose-regulated protein 78(GRP78),C/EBP homologous protein(CHOP),and protein kinase R-like endoplasmic reticulum kinase(PERK)in each group of cells were detected by Western blot.Results The flow cytometry detection showed that CD29,CD90 and CD105 on the surface of the isolated and cultured cells were positive,while CD34 and CD45 were negative.Immunofluorescence staining showed that vimentin in the cells was positive and pan-cytokeratin was negative,which was in line with the characteristics of hPDLSCs.Luciferase assay showed that miR-1260b mimic could significantly reduce the luciferase activity of ATF6β-WT(P<0.05),but had no significant effect on the luciferase activity of ATF6β-MUT(P>0.05).After alizarin red S staining,the staining of hPDLSCs gradually deepened after 3 days,5 days and 7 days of culture,suggesting an enhanced osteogenic differentiation ability.With the enhancement of osteogenic differentiation ability of hPDLSCs,the expression of miR-1260b in the cells showed a gradually increasing trend,while the mRNA and protein expression levels of ATF6β showed a gradually decreasing trend(P<0.05).The results of alizarin red S staining and alkaline phosphatase staining showed that the proportions of positive area in the miR-1260b mimic group were higher than those in the NC group(P<0.05),while the proportions of positive area in the ATF6β-OE group and the combined group were lower than those in the NC group(P<0.05).The mRNA and protein levels of ATF6β in the miR-1260b mimic group were lower than those in the NC group(P<0.05),while the mRNA and protein levels of ATF6β in the ATF6β-OE group and the combined group were higher than those in the NC group(P<0.05).The mRNA levels of Runx2,OCN and OPN in the miR-1260b mimic group were significantly higher than those in the NC group(P<0.05).The mRNA levels of Runx2,OCN and OPN in the ATF6β-OE group and the combined group were significantly lower than those in the NC group(P<0.05).The protein expression levels of GRP78,CHOP and PERK in the miR-1260b mimic group were significantly lower than those in the NC group(P<0.05).The protein expression levels of GRP78,CHOP and PERK in the ATF6β-OE group and the combined group were significantly higher than those in the NC group(P<0.05).Conclusion miR-1260b can inhibit endoplasmic reticulum stress level and promote osteogenic differentiation of hPDLSCs by targeting ATF6β.

AIM To investigate the mechanism of Jiedu Yizhi Formula on cognitive function and neuroinflammation in a mouse model of Alzheimer's disease(AD).METHODS 50 APP/PS1 double transgenic mice were randomly divided into the model group,the donepezil group,and the low-dose,moderate-dose,and high-dose Jiedu Yizhi Formula group(1.78,3.56 and 7.12 g/kg),with 10 mice in each group,in contrast to the 10 WT mice of the blank group.Following anesthesia administration and 8-week oral gavage regimen with respective drugs,all mice underwent final tissue sample collection.The mice had their learning and memory ability assessed by Morris water maze and nesting behavior scores;their pathology of brain tissue and Aβ expression observed using HE,Nissl and IHC staining;their polarization of microglia and the expression of inflammatory factors in hippocampal tissue detected by IF and ELISA;their hippocampal expression of PI3K/Akt/mTOR signaling pathway detected by RT-qPCR and Western blot.RESULTS Compared with the blank group,the model group had lower scores in total swimming distance,frequency in crossing the platform,residence time in the target quadrant,and nesting behavior scores(P＜0.05,P＜0.01);prolonged evasion latency(P＜0.01);more disorganized arrangement of pyramidal cells,solidification and deep staining,unclear demarcation,irregular cell shapes,reduction of Nyctinidia,and increased Aβ deposition in the brain tissue(P＜0.01);elevated expression of hippocampal microglia M1-type markers CD16/32 and lba-1(P＜0.01);decreased levels of M2-type marker CD206(P＜0.05);elevated levels of TNF-α and IL-1β(P＜0.01);decreased expressions of IL-13 and IL-4(P＜0.01);and decreased levels of PI3K,Akt and mTOR mRNA,and reduced p-PI3K,p-Akt and p-mTOR protein expressions(P＜0.01).Compared to the model group,the donepezil group and the Jiedu Yizhi Formula groups showed statistically significant improvements in the aforementioned indexes(P＜0.05,P＜0.01),with the magnitude of improvement being higher in the high-dose Jiedu Yizhi Formula group.CONCLUSION Jiedu Yizhi Formula suppresses microglia Ml-type polarization while enhancing M2-type polarization via activation the PI3K/Akt/mTOR signaling pathway,which subsequently reduces inflammatory cytokine secretion.This mechanism attenuates Aβ deposition in brain tissues and ameliorates cognitive dysfunction in AD mouse models.

BACKGROUND:In the process of intervening in the development of osteoarthritis,platelet-rich plasma plays an important role by intervening in autophagy,apoptotic cytokines and signal transduction pathways.OBJECTIVE:To summarize the structure of cytokines and signaling pathways involved in the diagnosis of osteoarthritis by platelet-rich plasma in recent years,as well as its correlation with chondrocyte apoptosis and autophagy,in order to provide effective targets for the future treatment of osteoarthritis.METHODS:Literature search was conducted in CNKI,WanFang Data,VIP,PubMed,Web of Science,and Medline databases using "platelet-rich plasma,chondrocyte,apoptosis,autophagy,osteoarthritis,cytokines,signaling pathway" as Chinese and English search terms.A systematic summary and induction were made for the 66 included articles.RESULTS AND CONCLUSION:Current research has shown that platelet-rich plasma can promote cartilage repair and assist bone tissue healing through various pathways,mainly divided into three aspects:(1) Platelet-rich plasma regulates the extension,closure,and maturation of microautophagosomes,promotes chondrocyte megaautophagy and molecular chaperone-mediated cell autophagy under specific conditions,enhances the expression of autophagy-related factors such as LC3Ⅱ/Ⅰ and Beclin1,inhibits the expression of P62/SQSTM1.Currently,there is no clear research directly exploring the specific effect of platelet-rich plasma on heat shock proteins,and further research is needed in this field in the future.(2) The various growth factors released by platelet-rich plasma inhibit the expression of pro-apoptotic factors Caspase,interleukin-1β,and tumor necrosis factor alpha,promote the expression of anti-apoptotic factor Bcl-2,and prevent chondrocyte apoptosis and degeneration.(3) By activating the PI3K/AKT/mTOR signaling pathway,NF-κB signal transduction pathway,death receptor pathway,mitochondrial stress pathway and other pathways,platelet-rich plasma inhibits the expression of Bax and Caspase,and prevents the release of cytochrome c,thereby inhibiting the death and necrotic apoptosis of chondrocytes.In general,platelet-rich plasma promotes cartilage repair,supports cartilage regeneration,and plays an anti-inflammatory role,and its biological effect in chondrocytes usually depends on the regulation of autophagy and apoptosis-related cytokines and signaling pathways.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.