Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans ; Denture, Complete ; Computer-Aided Design ; Denture Design/methods* ; Consensus ; Printing, Three-Dimensional

Objective:To analyze the pathological features of recurrent cardiac myxoma to provide a reference basis for clinical treatment and postoperative follow-up.Methods:The pathological data of cardiac myxoma patients who underwent cardiac myxoma surgery in Beijing Anzhen Hospital, Beijing, China from 2002 to 2016 were retrospectively analyzed. According to the grouping criteria, the cases were divided into the recurrence group ( n=6) and control group ( n=73). Results:In the recurrence group, there were 3 females and 3 males with a median age of 47 years. In the control group, there were 49 females and 24 males, with a median age of 53 years. Cardiac myxoma usually occurred in the left atrium. In the recurrence group, 5 cases occurred in the left atrium and 1 case in the right atrium. In the control group, 68 cases occurred in the left atrium, 4 cases in the right atrium, and 1 case in bilateral atria. Among the 6 cases in the recurrence group, the recurrence time was 1-7 years, with average 4.8 years. In the univariate analysis of recurrent cardiac myxoma pathology, disruption of elastic fiber layer and tumor cells of the tumor stalk invading into the myocardium through the elastic fiber layer were statistically associated with recurrence of cardiac myxoma ( P<0.05). Logistic regression analyses showed that the invasion of tumor cells through the elastic fiber layer of the heart wall into the myocardium was an independent risk factor for recurrence ( Odds Ratio=0.999, P<0.05). Conclusion:During the pathologic diagnosis, assessing the relationship between tumor cells in the stalk of cardiac myxoma and elastic fiber layer can help estimate the recurrence risk of cardiac myxoma, and thus guide clinical treatment and postoperative follow-up.

Objective:To investigate the endocardial myocardial biopsy and ultrastructural features of heart failure patients with reduced ejection fraction, to determine their histopathologic phenotype, and to explore the diagnostic utility of endomyocardial biopsy in such patients.Methods:A total of 35 patients with heart failure with reduced ejection fraction diagnosed at Beijing Anzhen Hospital and underwent endomyocardial biopsy were collected between January 2022 and December 2023. The clinical features, histopathological, and ultrastructural characteristics were analyzed and compared with 11 patients with heart failure with preserved ejection fraction.Results:The age ranged from 35-58 years, with median age of 51 years; there were 26 males and 9 females. Myocardial fibrosis and myocardial fiber disorders were the most common histopathologic changes [97.1% (34/35) and 74.3% (26/35), respectively]. Myocardial fibrosis was not statistically different between the heart failure with reduced ejection fraction group and the heart failure with preserved ejection fraction group [13.3% (5.7%-21.4%) vs. 13.2% (9.3%-34.2%), P=0.279]. Significant ultrastructural changes were dense mitochondrial proliferation, vacuolar degeneration, and disorganized arrangement of myocardial fibers with localized lysis and fracture. After endomyocardial biopsy, the etiology was identified in 11 patients (31.4%,11/35), with a prevalence of cardiac amyloidosis of 17.1% (6/35). Conclusions:Endomyocardial biopsy is useful for early diagnosis and precise treatment in patients presenting with heart failure with reduced ejection fraction. Histopathological and ultrastructural analyses can uncover potential treatments, and predict and improve prognosis by providing relevant information for understanding the pathogenesis and clinical evolution.

Objective To enhance the patient's medical experience by facilitating real-time reading monitoring of their offline outpatient medical progress,providing a centralized display of the status of various medical processes,and proactively de-livering the essential message notifications to patients at designated intervals.Methods The system was developed by adopting a message reminder functionality and integrating with the display of critical diagnostic and treatment processes(including registra-tion,payment,examination,testing,medication collection,and evaluation)so as to ensure that patients receive timely informa-tion that guides their subsequent actions.Results Following the developement and implementation of the system,empirical evi-dence demonstrated that patients were able to clearly comprehend their diagnostic and treatment progress.The system reduced waiting time and confusion.In addition,it enhanced the coherence and convenience of medical services.Conclusion The out-patient medical guidance system,grounded on the Internet hospital model,has effectively minimized patient confusion and stre-amlined operational procedures through an active service approach.Future enhancements are anticipated to further elevate the in-telligence of medical services by broadening business coverage and integrating advanced technologies such as big data and artificial intelligence and other technologies in the future.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

The past decade has witnessed remarkable progress in both general pathology and cardiovascular pathology. Chinese cardiovascular pathologists have achieved substantial progress in both diagnostic practice and fundamental research, with particularly significant contributions to molecular pathological investigations of cardiovascular diseases. The publication of consensus guidelines in cardiovascular pathology stands as testament to the field′s collective expertise. Looking forward, the accelerated evolution of molecular diagnostics and AI-driven digital pathology heralds new developmental opportunities for cardiovascular pathology, while simultaneously presenting practitioners with novel scientific and translational challenges.

The past decade has witnessed remarkable progress in both general pathology and cardiovascular pathology. Chinese cardiovascular pathologists have achieved substantial progress in both diagnostic practice and fundamental research, with particularly significant contributions to molecular pathological investigations of cardiovascular diseases. The publication of consensus guidelines in cardiovascular pathology stands as testament to the field′s collective expertise. Looking forward, the accelerated evolution of molecular diagnostics and AI-driven digital pathology heralds new developmental opportunities for cardiovascular pathology, while simultaneously presenting practitioners with novel scientific and translational challenges.

Objective To enhance the patient's medical experience by facilitating real-time reading monitoring of their offline outpatient medical progress,providing a centralized display of the status of various medical processes,and proactively de-livering the essential message notifications to patients at designated intervals.Methods The system was developed by adopting a message reminder functionality and integrating with the display of critical diagnostic and treatment processes(including registra-tion,payment,examination,testing,medication collection,and evaluation)so as to ensure that patients receive timely informa-tion that guides their subsequent actions.Results Following the developement and implementation of the system,empirical evi-dence demonstrated that patients were able to clearly comprehend their diagnostic and treatment progress.The system reduced waiting time and confusion.In addition,it enhanced the coherence and convenience of medical services.Conclusion The out-patient medical guidance system,grounded on the Internet hospital model,has effectively minimized patient confusion and stre-amlined operational procedures through an active service approach.Future enhancements are anticipated to further elevate the in-telligence of medical services by broadening business coverage and integrating advanced technologies such as big data and artificial intelligence and other technologies in the future.

Objective:To analyze the pathological features of recurrent cardiac myxoma to provide a reference basis for clinical treatment and postoperative follow-up.Methods:The pathological data of cardiac myxoma patients who underwent cardiac myxoma surgery in Beijing Anzhen Hospital, Beijing, China from 2002 to 2016 were retrospectively analyzed. According to the grouping criteria, the cases were divided into the recurrence group ( n=6) and control group ( n=73). Results:In the recurrence group, there were 3 females and 3 males with a median age of 47 years. In the control group, there were 49 females and 24 males, with a median age of 53 years. Cardiac myxoma usually occurred in the left atrium. In the recurrence group, 5 cases occurred in the left atrium and 1 case in the right atrium. In the control group, 68 cases occurred in the left atrium, 4 cases in the right atrium, and 1 case in bilateral atria. Among the 6 cases in the recurrence group, the recurrence time was 1-7 years, with average 4.8 years. In the univariate analysis of recurrent cardiac myxoma pathology, disruption of elastic fiber layer and tumor cells of the tumor stalk invading into the myocardium through the elastic fiber layer were statistically associated with recurrence of cardiac myxoma ( P<0.05). Logistic regression analyses showed that the invasion of tumor cells through the elastic fiber layer of the heart wall into the myocardium was an independent risk factor for recurrence ( Odds Ratio=0.999, P<0.05). Conclusion:During the pathologic diagnosis, assessing the relationship between tumor cells in the stalk of cardiac myxoma and elastic fiber layer can help estimate the recurrence risk of cardiac myxoma, and thus guide clinical treatment and postoperative follow-up.

Objective:To investigate the endocardial myocardial biopsy and ultrastructural features of heart failure patients with reduced ejection fraction, to determine their histopathologic phenotype, and to explore the diagnostic utility of endomyocardial biopsy in such patients.Methods:A total of 35 patients with heart failure with reduced ejection fraction diagnosed at Beijing Anzhen Hospital and underwent endomyocardial biopsy were collected between January 2022 and December 2023. The clinical features, histopathological, and ultrastructural characteristics were analyzed and compared with 11 patients with heart failure with preserved ejection fraction.Results:The age ranged from 35-58 years, with median age of 51 years; there were 26 males and 9 females. Myocardial fibrosis and myocardial fiber disorders were the most common histopathologic changes [97.1% (34/35) and 74.3% (26/35), respectively]. Myocardial fibrosis was not statistically different between the heart failure with reduced ejection fraction group and the heart failure with preserved ejection fraction group [13.3% (5.7%-21.4%) vs. 13.2% (9.3%-34.2%), P=0.279]. Significant ultrastructural changes were dense mitochondrial proliferation, vacuolar degeneration, and disorganized arrangement of myocardial fibers with localized lysis and fracture. After endomyocardial biopsy, the etiology was identified in 11 patients (31.4%,11/35), with a prevalence of cardiac amyloidosis of 17.1% (6/35). Conclusions:Endomyocardial biopsy is useful for early diagnosis and precise treatment in patients presenting with heart failure with reduced ejection fraction. Histopathological and ultrastructural analyses can uncover potential treatments, and predict and improve prognosis by providing relevant information for understanding the pathogenesis and clinical evolution.