Objective:To investigate the feasibility and safety of implementing a domestic vehicle-mounted remote mobile robotic surgical system in thyroid surgery applications, integrated with 5G communication technology.Methods:Using the main system located on the vehicle-mounted mobile robot operating platform of the 960th Hospital of PLA Joint Logistics Support Force and the slave system of Weifang Traditional Chinese Hospital, the remote radical thyroidectomy 5G communication technology, and analyze the clinical and information transmission data of two female patients who underwent remote mobile robot thyroid cancer surgery on October 21, 2024 at Weifang Traditional Chinese Medicine Hospital.Results:The remote radical thyroidectomy was conducted by the robosurgeons utilizing a vehicle-mounted mobile robotic surgical system, and the procedure was successfully completed without necessitating intermediate open surgery. The operation durations for patient 1 and patient 2 were 135 minutes and 108 minutes, respectively, with 7 and 13 lymph nodes dissected, respectively. The average delay in surgical data transmission was recorded at 61.9 milliseconds, with no instances of signal interruption or frame loss. The procedure proceeded smoothly, without any jamming, and the audio and video transmissions were consistently clear. Follow up for 21 days after surgery showed no complications such as hoarseness, skin damage, or lymphatic fistula.Conclusion:The implementation of a vehicle-mounted remote mobile robotic surgery system for thyroid surgery has demonstrated safety and feasibility. Furthermore, the utilization of the 5G network offers rapid data transmission and minimal latency, closely approximating the therapeutic efficacy of traditional robotic thyroidectomy.

OBJECTIVE To analyze the medication patterns of traditional Chinese medicine combinations for the treatment of pulmonary nodules in national patents using data mining and network pharmacology methods,providing a reference for the clinical treat-ment of pulmonary nodules.METHODS Patent data on traditional Chinese medicine compound prescriptions for the treatment of pul-monary nodules were collected from the China National Intellectual Property Administration Patent Inquiry System and the China Na-tional Knowledge Infrastructure(CNKI)patent database.Formula statistics were performed using Excel software.The Ancient and Modern Medical Case Cloud Platform was used to conduct high-frequency analysis of traditional Chinese medicine including frequency,properties and flavors,meridian tropism,efficacy categories,association rules,clustering,complex network analysis to screen out core drugs.Network pharmacology was then used to predict potential targets and pathways in patent prescriptions for the treatment of pulmo-nary nodules.RESULTS A total of 67 valid patents for the treatment of pulmonary nodules were included,involving 276 traditional Chinese medicines,with a cumulative total frequency of 859.The top five traditional Chinese medicines in terms of frequency of use were Glycyrrhiza uralensis Fisch,Astragalus membranaceus,Pinellia ternate,Curcuma zedoary and Hedyotis diffusa.These traditional Chinese medicines were primarily sweet and warm in property,primarily targeting the lung,liver,and spleen meridians,and their main effects were clearing heat,drying dampness and resolving phlegm,and promoting diuresis and reducing swelling.Association a-nalysis revealed that the top drug pairs were Scutellaria baicalensis Georgi-Pinellia ternate,Fagopyrum cymosum-Pinellia ternate,Ra-nunculus ternatus-Curcuma zedoary,Radix Angelicae Sinensis-Radix Paeoniae Alba,and Radix Angelicae Sinensis-Glycyrrhiza ura-lensis Fisch.Cluster analysis identified three drug combinations,and complex network analysis demonstrated that the core drug compo-nents were Scutellaria baicalensis Georgi,Pinellia ternate,Astragalus membranaceus,Curcuma zedoary,Fritillaria thunbergii,Fago-pyrum dibotryis,Hedyotis diffusa and Ranunculus ternatus.Network pharmacology analysis showed that the key targets for the treat-ment of lung nodules with patent prescriptions were GAPDH,IL6,TNF and so on.The core active ingredients were Baicalein,Moslosooflavone,and Norwogonin and so on.The main pathways involved were cancer pathways,lipids and arteriosclerosis,and viral carcinogenesis.CONCLUSION The inclusion of traditional Chinese medicine compound patent in this case is consistent with the eti-ology and pathogenesis of traditional Chinese medicine for treating lung nodules.Commonly used drug pairs and cluster prescriptions re-flect the flexible compatibility of traditional Chinese medicines in the treatment of pulmonary nodules,such as clearing away heat and toxic materials,resolving phlegm and eliminating swelling,regulating qi and strengthening spleen,promoting blood circulation and remo-ving blood stasis.The core drugs exert their effects on pulmonary nodules through multiple components,multiple targets and multiple pathways.

OBJECTIVE To analyze the medication patterns of traditional Chinese medicine combinations for the treatment of pulmonary nodules in national patents using data mining and network pharmacology methods,providing a reference for the clinical treat-ment of pulmonary nodules.METHODS Patent data on traditional Chinese medicine compound prescriptions for the treatment of pul-monary nodules were collected from the China National Intellectual Property Administration Patent Inquiry System and the China Na-tional Knowledge Infrastructure(CNKI)patent database.Formula statistics were performed using Excel software.The Ancient and Modern Medical Case Cloud Platform was used to conduct high-frequency analysis of traditional Chinese medicine including frequency,properties and flavors,meridian tropism,efficacy categories,association rules,clustering,complex network analysis to screen out core drugs.Network pharmacology was then used to predict potential targets and pathways in patent prescriptions for the treatment of pulmo-nary nodules.RESULTS A total of 67 valid patents for the treatment of pulmonary nodules were included,involving 276 traditional Chinese medicines,with a cumulative total frequency of 859.The top five traditional Chinese medicines in terms of frequency of use were Glycyrrhiza uralensis Fisch,Astragalus membranaceus,Pinellia ternate,Curcuma zedoary and Hedyotis diffusa.These traditional Chinese medicines were primarily sweet and warm in property,primarily targeting the lung,liver,and spleen meridians,and their main effects were clearing heat,drying dampness and resolving phlegm,and promoting diuresis and reducing swelling.Association a-nalysis revealed that the top drug pairs were Scutellaria baicalensis Georgi-Pinellia ternate,Fagopyrum cymosum-Pinellia ternate,Ra-nunculus ternatus-Curcuma zedoary,Radix Angelicae Sinensis-Radix Paeoniae Alba,and Radix Angelicae Sinensis-Glycyrrhiza ura-lensis Fisch.Cluster analysis identified three drug combinations,and complex network analysis demonstrated that the core drug compo-nents were Scutellaria baicalensis Georgi,Pinellia ternate,Astragalus membranaceus,Curcuma zedoary,Fritillaria thunbergii,Fago-pyrum dibotryis,Hedyotis diffusa and Ranunculus ternatus.Network pharmacology analysis showed that the key targets for the treat-ment of lung nodules with patent prescriptions were GAPDH,IL6,TNF and so on.The core active ingredients were Baicalein,Moslosooflavone,and Norwogonin and so on.The main pathways involved were cancer pathways,lipids and arteriosclerosis,and viral carcinogenesis.CONCLUSION The inclusion of traditional Chinese medicine compound patent in this case is consistent with the eti-ology and pathogenesis of traditional Chinese medicine for treating lung nodules.Commonly used drug pairs and cluster prescriptions re-flect the flexible compatibility of traditional Chinese medicines in the treatment of pulmonary nodules,such as clearing away heat and toxic materials,resolving phlegm and eliminating swelling,regulating qi and strengthening spleen,promoting blood circulation and remo-ving blood stasis.The core drugs exert their effects on pulmonary nodules through multiple components,multiple targets and multiple pathways.