Objective:To retrospectively evaluate the clinical outcomes of autonomous dental implant robot(ADIR)assisted implant surgery in 1-year follow-up.Methods:20 patients with tooth missing underwent implantation surgery by ADIR were incuded.The plat-form deviation,apex deviation and angular deviation of the implants were analyzed.The marginal bone height and peri-implant soft tis-sue health were measured and observed immediately,6 months and 12 months after the restoration.Results:The platform deviation,apex deviation and angular deviation of 20 implants at the 3 follow-up examinations were(0.34±0.11)mm,(0.34±0.15)mm and(0.82°±0.38°),respectively.There was no significant difference in the accuracy of different implant diameter and length(P＞0.05).During the follow-up period,all implants had successful osseointegration,stable marginal bone height,and acceptable peri-implant soft tissue condition.Conclusion:The 1-year follow-up indicates that ADIR can achieve promising clinical performance.Long-term follow-up studies are still necessary for verification.

With the growth of the global economy , changes in climate and ecological environments, and increased mobility of humans and animals, the transmission risk of vector-borne tropical diseases continues to rise. To address this challenge, strengthening surveillance of vector-borne tropical diseases is urgent. This consensus brought together 29 renowned experts in related professional fields from 26 institutions in China, who, through analyzing the epidemic trend and hazard situation of vector-borne tropical diseases and summarizing the working experiences of experts, have firstly reached following consensus: the burden of vector-borne tropical diseases is heavy with great threats to human health; China has achieved remarkable results in prevention and control of vector-borne tropical diseases , but still needs to strengthen the surveillance and response actively. Secondly, a unanimous consensus has been reached on the aspects of surveillance definition, objectives, contents, and methods of vector-borne tropical diseases. Thirdly, detail requirements have been agreed including: strengthening the concept of early surveillance and forecast, standarding the function, evaluation steps, and construction requirements of surveillance system for vector-borne tropical diseases. Fourthly, key tasks were put forward that need to be investigated and strengthened in the future. This expert consensus provides a standardized reference for the construction of the surveillance pathway and surveillance system for vector-borne tropical diseases in China.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

The use of robots to augment human capabilities and assist in work has long been an aspiration.Robotics has been developing since the 1960s when the first industrial robot was introduced.As technology has advanced,robotic-assisted surgery has shown numerous advantages,including more precision,efficiency,minimal invasiveness,and safety than is possible with conventional techniques,which are research hotspots and cutting-edge trends.This article reviewed the history of medical robot development and seminal research papers about current research progress.Taking the autonomous dental implant robotic system as an example,the advantages and prospects of medical robotic systems would be discussed which would provide a reference for future research.

Accurate segmentation of oral surgery-related tissues from cone beam computed tomography(CBCT)images can significantly accelerate treatment planning and improve surgical accuracy.In this paper,we propose a fully automated tissue segmentation system for dental implant surgery.Specifically,we propose an image preprocessing method based on data distribution histograms,which can adaptively process CBCT images with different parameters.Based on this,we use the bone segmentation network to obtain the segmentation results of alveolar bone,teeth,and maxillary sinus.We use the tooth and mandibular regions as the ROI regions of tooth segmentation and mandibular nerve tube segmentation to achieve the corresponding tasks.The tooth segmentation results can obtain the order information of the dentition.The corresponding experimental results show that our method can achieve higher segmentation accuracy and efficiency compared to existing methods.Its average Dice scores on the tooth,alveolar bone,maxillary sinus,and mandibular canal segmentation tasks were 96.5%,95.4%,93.6%,and 94.8%,respectively.These results demonstrate that it can accelerate the development of digital dentistry.

Targeted therapy and immunotherapy have achieved great success in treating various solid and non-solid tumors, but the incidence of drugs-related adverse events is relatively high. The paper reports a case of renal thrombotic microangiopathy in an intrahepatic cholangiocarcinoma patient who underwent targeted therapy combined with immunotherapy. During the treatment, the tumor burden relieved continuously, but the patient developed proteinuria, edema and hypertension. The ADAMTS13 activity and inhibitors were normal, while the antiphospholipid antibody was positive. The patient was finally diagnosed as glomerular thrombotic microangiopathy with immune complex deposition by renal biopsy. After the cease of the antineoplastic agents and treatment with "cordyceps preparations" and "α-keto acids", the patient's blood pressure dropped to normal, her urine protein turnned to weakly positive, and her renal function remained stable.

Objective:To evaluate the accuracy of the Autonomous Dental Implant Robotic System (ADIR) in vivo through animal experiments. Methods:Nine canine models with bilateral mandibular premolars loss were prepared. Two implants were placed in each side of canine′s mandibular edentulous area. On each side, the two implants were completed by ADIR (robot group) and one experienced doctor using digital full-guided plate (guide template group) respectively. After the operation, the deviation between the actual implant position and the planned position was evaluated. The primary stability of the implant was measured, and the results of the robot group and the guide template group were statistically analyzed.Results:ADIR could successfully place implant for missing teeth in animals, and the coronal deviation, apical deviation and angular deviation [ M( Q)] were 0.269 (0.152) mm, 0.254 (0.218) mm and 0.989° (0.517°) respectively, which were significantly lower than those of guide template group [the coronal deviation, apical deviation and angular deviation were 0.910 (0.872) mm, 1.179 (1.176) mm and 4.209°(5.208°) respectively] ( P<0.05). Besides, there was no significant difference in the primary stability of the implant between the two groups ( P>0.05). Conclusions:This study confirmed the accuracy of the ADIR in vivo, and laid a foundation for further clinical trials.

Objective:To explore the differences of CBCT image gray value of commonly used dental materials.Methods:CBCT was used to scan 36 kinds of commonly dental material blocks,the tomographic image gray value was measured by Mimics software.Re-sults:CBCT image gray values of the materials were obtained.There were differences of the gray values of the materials not only among the different types,but also among the different varieties of the same materials.Conclusion:The discipline of CBCT image gray value differences of commonly used dental materials provided an objective basis for the establishment of 3D digital model including dental ma-terials.

Objective:To observe influence of preinfarction angina pectoris (PAP)on primary ST elevation acute my-ocardial infarction (AMI).Methods:A total of 280 patients with primary ST elevation AMI received coronary angi-ography (CAG)within 24h after symptoms occurred,and they received ECG and QRS scoring on hospitalization. According to PAP or not,patients were divided into PAP group (n=102)and non PAP group (n=178).According to attack to CAG time,patients were divided into early stage group (<2h,n=60),mid-term group (2~6h,n=150)and advanced stage group (6~24h,n=70).Results:QRS score of PAP patients [(2.4±2.4)scores]was sig-nificantly lower than that of non PAP patients [(3.2±3.0)scores],percentage of high QRS score in PAP group (8.0%)was also significantly lower than that of non PAP group (18.4%),P<0.05 both.In early stage group, there was no significant difference in QRS score [(2.0±1.8)scores vs.(2.6±2.8)scores,P=0.35]between PAP and non PAP patients;The QRS score of PAP patients [(2.0±2.1)scores]was significantly lower than that of non PAP group [(3.0 ±3.0)scores]in mid-term group,P=0.03;in advanced stage group,the QRS score all signifi-cantly rose in PAP patients [(4.1 ±3.3)scores]and non PAP patients [(5.5±2.9)scores],P=0.13;QRS score gradually rose along with onset time prolonged in non PAP group.Conclusion:Preinfarction angina pectoris can de-lay progress of acute myocardial infarction and expand therapeutic window of reperfusion.

Objective:To evaluate of the feasibility of low-dose CT(LDCT)in the reconstruction of three-dimensional(3D)model of maxillofacial hard and soft tissues.Methods:Lightspeed 16-slice spiral CT scanner was used to scan one adult cadaveric head specimens with conventional parameters(280 mA)and low dose parameters(200,150,100,50,35,25,15 and 5 mA)respectively;the 3D model of the hard and soft tissues were reconstructed with Mimics 10.01 software,and 3D comparison were carried on with Geomagic 11.0 software.A comparison of the surface morphology of the hard and soft tissues of the 3D models with different scanning parameters was made.Results:With the reduction of the tube current,the model surface became rough gradually.Compared with the 280 mA scan results,the model surface produced by 35 mA scanning was still fairing,when the dose fell to less than 25 mA,the model surface became rough and the exact shape of the model could not be recognized.The same results of model surface were pro-duced after registration.Conclusion:The low-dose (35 mA)CT can be used to reconstruct 3D model of the maxillofacial hard and soft tissues.