Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

Objective A Cobb angle prediction model for adolescent idiopathic scoliosis(AIS)based on three-point mechanical data from three-dimensional(3D)-printed orthotics and various machine learning algorithms was developed,so as to provide an innovative,radiation-free method for early clinical screening and monitoring of AIS.Methods Clinical data from AIS patients and mechanical data from 3D-printed orthotics were collected to construct a comprehensive dataset with features such as gender,age,disease type,weight,and Risser score.Six algorithms,namely,random forest,support vector regression,gradient boosting regressor,extreme gradient boosting,lightgbm,and catboost,were used to construct and evaluate the performance of Cobb angle prediction models.Results The gradient boosting regressor model had the best performance on several evaluation metrics,achieving a precision rate of 0.937,recall rate of 0.818,F1-score of 0.949,and an area under curve(AUC)value of 0.843.In the validation set,the model's predictions reached an accuracy rate of 0.942,fitting well with the actual Cobb values.Conclusions The Cobb angle prediction model based on mechanical data and machine learning effectively avoids the radiation risks associated with traditional full-spine X-ray examinations in early clinical screening.It provides a non-invasive assessment for AIS patients,enhancing the safety and efficiency of screening and monitoring,and offering a powerful decision-making tool for clinicians,with a great clinical significance.

Objective To evaluate the safety and therapeutic efficacy of three-dimensional(3D)-printed personalized cervical correction pillows for treating cervical spondylotic radiculopathy.Methods A finite element model was established to simulate and analyze the biomechanical changes in cervical spine before and after using the pillow.Additionally,20 patients with chronic neck pain were included to analyze changes in visual analogue scale(VAS)scores,neck disability index(NDI),pressure pain threshold(PPT),Borden value,cervical lordosis,T1 slope,cervical slope,and thoracic inlet angle before and after using the pillow.Results Finite element analysis indicated that the maximum stress on vertebral bodies increased by 64.35％and the maximum stress on cartilage tissues by 5.09％after using the pillow.The Borden value improved by 45.75％.Clinical studies showed a significant reduction in VAS scores,NDI,and PPT after treatment(P＜0.05),while PPT,Borden value,cervical lordosis,T1 slope,and thoracic inlet angle significantly increased(P＜0.05).Conclusions The 3D-printed personalized cervical correction pillow is safe and effective in alleviating neck pain and improving cervical curvature,and it provides a new and effective non-surgical treatment option for cervical spondylotic radiculopathy,with significant clinical implications.

Objective:To investigate the prognostic factors in patients with acute myocardial infarction (AMI) who underwent interventional therapy assisted by venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This single-center retrospective cohort study enrolled AMI patients who received VA-ECMO-assisted interventional therapy in the Department of Cardiology at the Second Hospital of Jilin University from June 2018 to November 2022. Patients were divided into the in-hospital survival group and in-hospital death group based on the in-hospital survival. Data on patient demographics, laboratory tests, imaging examinations, coronary angiography results, VA-ECMO-related parameters, complications, and prognosis were collected through the electronic medical record system.Results:A total of 71 AMI patients were enrolled, with an age of (62.4±11.1) years, of whom 54 (76%) were male. There were 46 patients in the in-hospital survival group and 25 patients in the in-hospital death group. Compared to the in-hospital survival group, the in-hospital death group exhibited significantly higher levels of cardiac troponin I (36.08 (2.86, 100.00) μg/L vs. 2.75 (0.18, 13.86) μg/L, P=0.01) and B-type natriuretic peptide (1 724.50 (50.00, 4 200.50) vs. 460.85 (163.80, 1 862.33), P=0.01), and the left ventricular ejection fraction was lower ((35.0±12.9)% vs. (43.0±12.8)%, P=0.01), moreover the incidence of patients with left main coronary artery disease (80% (20/25) vs. 39% (18/46), P<0.01), cardiac arrest (56% (14/25) vs. 20% (9/46), P<0.01), cardiopulmonary resuscitation (52%(13/25) vs. 26%(12/46), P=0.03), and the time from cardiac arrest to ECMO initiation >24 hours (84% (21/25) vs. 9% (4/46), P<0.01) were higher. Conclusions:The prognosis of AMI patients undergoing VA-ECMO-assisted interventional therapy may be influenced by a number of related factors, including cardiac troponin I, B-type natriuretic peptide levels, left ventricular ejection fraction, combined with left main coronary artery disease, cardiac arrest and cardiopulmonary resuscitation, and the interval between cardiac arrest and the initiation of ECMO.

Objective The differences in biomechanical characteristics of the lower limbs between individuals with chronic ankle instability(CAI)and healthy individuals during unanticipated and anticipated jumping were compared,in order to provide practical references and ideas for the prevention and treatment of recurrent ankle sprains.Methods Thirty subjects were recruited,including 15 patients with CAI and 15 healthy volunteers.All subjects completed unanticipated and anticipated jumping tests in a random order,with a 1-week interval between the two tests.Kinematic and kinetic data of lower limbs were collected synchronously using Vicon infrared high-speed motion capture system and Kistler three-dimensional force platform.Results At the moment of touchdown,knee flexion angle was significantly greater during unanticipated jumping than that during anticipated jumping(P=0.009),while ankle eversion angle was notably lower(P=0.043).During the early landing phase,unanticipated jumping showed significantly greater peak hip flexion and abduction angles,as well as knee flexion(P=0.038,P=0.036,P=0.04),while peak ankle dorsiflexion and eversion angles were significantly lower(P=0.001,P=0.01)compared to anticipated jumping.Additionally,peak hip abduction moment during unanticipated jumping was significantly higher in patients with CAI than that during anticipated jumping(P=0.028).Conclusions Unanticipated jumping reduced ankle dorsiflexion and eversion angles in individuals with CAI,putting the ankle in an open,sprain-prone position.Individuals with CAI compensated proximally by increasing hip flexion,abduction,knee flexion angles,and hip extension moment to stabilize the ankle.

Objective The differences in biomechanical characteristics of the lower limbs between individuals with chronic ankle instability(CAI)and healthy individuals during unanticipated and anticipated jumping were compared,in order to provide practical references and ideas for the prevention and treatment of recurrent ankle sprains.Methods Thirty subjects were recruited,including 15 patients with CAI and 15 healthy volunteers.All subjects completed unanticipated and anticipated jumping tests in a random order,with a 1-week interval between the two tests.Kinematic and kinetic data of lower limbs were collected synchronously using Vicon infrared high-speed motion capture system and Kistler three-dimensional force platform.Results At the moment of touchdown,knee flexion angle was significantly greater during unanticipated jumping than that during anticipated jumping(P=0.009),while ankle eversion angle was notably lower(P=0.043).During the early landing phase,unanticipated jumping showed significantly greater peak hip flexion and abduction angles,as well as knee flexion(P=0.038,P=0.036,P=0.04),while peak ankle dorsiflexion and eversion angles were significantly lower(P=0.001,P=0.01)compared to anticipated jumping.Additionally,peak hip abduction moment during unanticipated jumping was significantly higher in patients with CAI than that during anticipated jumping(P=0.028).Conclusions Unanticipated jumping reduced ankle dorsiflexion and eversion angles in individuals with CAI,putting the ankle in an open,sprain-prone position.Individuals with CAI compensated proximally by increasing hip flexion,abduction,knee flexion angles,and hip extension moment to stabilize the ankle.

Objective To evaluate the safety and therapeutic efficacy of three-dimensional(3D)-printed personalized cervical correction pillows for treating cervical spondylotic radiculopathy.Methods A finite element model was established to simulate and analyze the biomechanical changes in cervical spine before and after using the pillow.Additionally,20 patients with chronic neck pain were included to analyze changes in visual analogue scale(VAS)scores,neck disability index(NDI),pressure pain threshold(PPT),Borden value,cervical lordosis,T1 slope,cervical slope,and thoracic inlet angle before and after using the pillow.Results Finite element analysis indicated that the maximum stress on vertebral bodies increased by 64.35％and the maximum stress on cartilage tissues by 5.09％after using the pillow.The Borden value improved by 45.75％.Clinical studies showed a significant reduction in VAS scores,NDI,and PPT after treatment(P＜0.05),while PPT,Borden value,cervical lordosis,T1 slope,and thoracic inlet angle significantly increased(P＜0.05).Conclusions The 3D-printed personalized cervical correction pillow is safe and effective in alleviating neck pain and improving cervical curvature,and it provides a new and effective non-surgical treatment option for cervical spondylotic radiculopathy,with significant clinical implications.

Objective:To investigate the prognostic factors in patients with acute myocardial infarction (AMI) who underwent interventional therapy assisted by venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This single-center retrospective cohort study enrolled AMI patients who received VA-ECMO-assisted interventional therapy in the Department of Cardiology at the Second Hospital of Jilin University from June 2018 to November 2022. Patients were divided into the in-hospital survival group and in-hospital death group based on the in-hospital survival. Data on patient demographics, laboratory tests, imaging examinations, coronary angiography results, VA-ECMO-related parameters, complications, and prognosis were collected through the electronic medical record system.Results:A total of 71 AMI patients were enrolled, with an age of (62.4±11.1) years, of whom 54 (76%) were male. There were 46 patients in the in-hospital survival group and 25 patients in the in-hospital death group. Compared to the in-hospital survival group, the in-hospital death group exhibited significantly higher levels of cardiac troponin I (36.08 (2.86, 100.00) μg/L vs. 2.75 (0.18, 13.86) μg/L, P=0.01) and B-type natriuretic peptide (1 724.50 (50.00, 4 200.50) vs. 460.85 (163.80, 1 862.33), P=0.01), and the left ventricular ejection fraction was lower ((35.0±12.9)% vs. (43.0±12.8)%, P=0.01), moreover the incidence of patients with left main coronary artery disease (80% (20/25) vs. 39% (18/46), P<0.01), cardiac arrest (56% (14/25) vs. 20% (9/46), P<0.01), cardiopulmonary resuscitation (52%(13/25) vs. 26%(12/46), P=0.03), and the time from cardiac arrest to ECMO initiation >24 hours (84% (21/25) vs. 9% (4/46), P<0.01) were higher. Conclusions:The prognosis of AMI patients undergoing VA-ECMO-assisted interventional therapy may be influenced by a number of related factors, including cardiac troponin I, B-type natriuretic peptide levels, left ventricular ejection fraction, combined with left main coronary artery disease, cardiac arrest and cardiopulmonary resuscitation, and the interval between cardiac arrest and the initiation of ECMO.

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

BACKGROUND:Traditional scoliosis orthosis has some disadvantages,such as complex manufacturing process,long processing cycle,poor fit and so on.Three-dimensional printed scoliosis orthosis has the advantages of high manufacturing precision and personalization. OBJECTIVE:To evaluate the efficacy of three-dimensional printed scoliosis orthosis for scoliosis based on multi-criteria decision model. METHODS:Clinical data of 72 patients with scoliosis admitted to Chen Xinghai Hospital of Integrated Traditional Chinese and Western Medicine from January 2019 to October 2022 were retrospectively collected and divided into two groups according to the treatment of orthosis.Study group(n=23)received three-dimensional printed scoliosis orthosis.Traditional group(n=49)received the traditional polypropylene spine brace treatment.The clinical efficacy and complications were compared between the two groups.A multi-criteria decision model for the treatment of scoliosis with three-dimensional printed scoliosis orthosis was established,and the stability of the benefit value,risk value and decision model of the two groups were evaluated. RESULTS AND CONCLUSION:(1)Compared with the traditional group,there were significant differences in the top vertebral offset distance,Cobb angle,top vertebral rotation,Functional Movement Screen score,visual analog scale score and total effective rate in the study group at 6 months after surgery(P<0.05).(2)Among the benefit indexes,Cobb angle had the greatest impact on the condition of patients,while the risk indexes had the greatest impact on dyspnea.(3)The benefit values of the study group and the traditional group for scoliosis were 79 and 64,and the risk values were 74 and 57,respectively.The combined benefit and risk values found that the benefit-risk value of the study group was 16 higher than that of the traditional group.(4)In the range of 0-100%relative risk weight,the benefit-risk value of the study group was always higher than that of the traditional group,which proved that the multi-criteria decision-making model had good stability.(5)It is indicated that three-dimensional printed scoliosis orthosis can better restore the physiological curvature of scoliosis and improve the efficiency of treatment.