The Clinical Medicine Proficiency Test developed by the National Medical Examination Center of China in 2020 aims to assess whether clinical medical students possess the necessary medical humanities and basic medical theoretical knowledge and skills required for clinical internships. Since 2002, Japan has implemented the pre-clinical clerkship objective structured clinical examination and computer-based testing, which share similarities with China's proficiency test in terms of examination objectives, content, format, and score evaluation. Through comparing the examinations of China and Japan, this article concludes that it is necessary to learn from Japan's experience to expedite the process of promoting the Clinical Medicine Proficiency Test as an industry admission examination in China. We suggest that medical schools should keep tracking the development of the proficiency test and fully leverage its role in urging students to pay more attention to clinical internships. We also urge medical schools to establish a three-level examination system based on post competency criteria in line with the standards of the National Medical Licensing Examination to improve the quality of medical education.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.

Objective To analyze the application effect and economic benefit of total parathyroidectomy(TPTX)+subcutaneous implantation of forearm(AT)+thymectomy in patients with secondary hyperparathyroidism(SHPT).Methods The clinical data of 110 patients with SHPT who were treated in our hospital from March 2018 to January 2021 were retrospectively analyzed.They were divided into medication group(50 cases,receiving cinacalcet combined with low-dose calcitriol)and operation group(60 cases,receiving TPTX+AT+thymectomy)according to different treatment regimens.The biochemical indexes,cardiac structure and function,clinical symptoms and quality of life of the two groups were compared before and after treatment for 24 months,and the complications,cost-effectiveness and recurrence rate of the two groups after operation were counted.Results After treatment,the levels of serum iPTH[(206.45±152.59)pg/ml],calcium[(2.05±0.26)mmol/L],phosphorus[(1.48±0.21)mmol/L],calcium-phosphorus product(3.02±0.69)and ALP[(102.03±30.25)U/L]in operation group were all lower Drug group[(721.32±325.36)pg/ml,(2.22±0.18)mmol/L,(1.91±0.22)mmol/L,(4.22±0.74),(140.62±27.15)U/L](P＜0.05);LVEF[(60.85±4.02)％]in operation group was higher than that in drug group[(55.58±3.84)％].LVED[(48.03±2.58)mm]and LVST[(9.85±0.76)mm]were lower than those in drug group[(51.02±3.65)mm,(11.12±0.86)mm](P＜0.05).The scores of bone pain,skin pruritus and restless legs syndrome in the operation group were lower than those of the medication group,and the KDTA score was higher than that of the medication group(P＜0.05).The total cost of treatment in the operation group[(4.06±1.42)million yuan]was not significantly different from that in the drug group[(3.46±1.85)million yuan](P＞0.05).The effective rate of iPTH reduction in operation group was 90.00％(54/60),which was higher than that in drug group(48.00％,24/50)(P＜0.05).The cost-effectiveness analysis showed that the CER of the drug group and the operation group were 7.21 and 4.51 respectively,and the operation treatment had more cost-effectiveness advantages.The incremental cost-effectiveness analysis shows that compared with the drug group,the operation group needs to increase the cost by 14,800 yuan for each additional patient effectively treated for SHPT(P＞0.05).There was no significant difference in the incidence of complications(13.33％VS 12.00％)and the recurrence rate(8.33％VS 4.00％)at 2 4 months after treatment between the operation group and the drug group(P＞0.0 5).Conclusion TPTX+AT+thymectomy can relieve the bone pain,reduce the iPTH level,correct the disorder of calcium and phosphorus metabolism,improve the heart function and structure,and improve the quality of life,and the cost-effectiveness is higher than SHPT of drug treatment,without increasing short-term recurrence rate.

The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.

Humans ; Female ; Breast Neoplasms/pathology* ; Multiomics ; Trastuzumab ; Receptor, ErbB-2/genetics* ; Machine Learning

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.

Sino-foreign cooperative education not only introduces foreign teachers and curriculums, but also brings new teaching concepts, teaching methods, and the training of teachers. With the example of rehabilitation treatment in the national first-class undergraduate specialty construction site of Nanjing University of Chinese Medicine, this study discusses the talent training mode of Sino-foreign cooperative education from the five aspects of professional system, discipline characteristics, curriculum system, teaching methods, and evaluation methods. The mode of Sino-foreign cooperative education provides a reference for the development of modern rehabilitation higher education.

Objective To propose a double watermarking algorithm based on contourlet transform and speckle detection to automatically select the region of interest(ROI)for solving the problems of copyright infringement and malicious destruction of CT and MRI images.Methods The method used speckle detection and singular value decomposition to select the most relevant location in the low frequency domain of the medical image contourlet wave as the ROI,generated a zero-watermarked image in ROI for protecting image integrity,and embed the ROI zero-watermark and the copyright watermark together in the region of non-interest.Results Compared with other double watermarking algorithms,the double watermarking algorithm could greatly improve the invisibility of the carrier image after the attack.The double watermarked images had a structure similarity index measure higher than 94%.Conclusion The proposed double watermarking algorithm incorporating speckle detection and contourlet transform has better robustness against conventional attacks and geometric attacks,and significantly improves the visual quality of carrier images.

Objective:To compare the differences in the prevalence of mild micro-hepatic encephalopathy (MHE) among patients with cirrhosis by using the psychometric hepatic encephalopathy score (PHES) and the Stroop smartphone application (Encephal App) test.Methods:This prospective, multi-center, real-world study was initiated by the National Clinical Medical Research Center for Infectious Diseases and the Portal Hypertension Alliance and registered with International ClinicalTrials.gov (NCT05140837). 354 cases of cirrhosis were enrolled in 19 hospitals across the country. PHES (including digital connection tests A and B, digital symbol tests, trajectory drawing tests, and serial management tests) and the Stroop test were conducted in all of them. PHES was differentiated using standard diagnostic criteria established by the two studies in China and South Korea. The Stroop test was evaluated based on the criteria of the research and development team. The impact of different diagnostic standards or methods on the incidence of MHE in patients with cirrhosis was analyzed. Data between groups were differentiated using the t-test, Mann-Whitney U test, and χ2 test. A kappa test was used to compare the consistency between groups. Results:After PHES, the prevalence of MHE among 354 cases of cirrhosis was 78.53% and 15.25%, respectively, based on Chinese research standards and Korean research normal value standards. However, the prevalence of MHE was 56.78% based on the Stroop test, and the differences in pairwise comparisons among the three groups were statistically significant (kappa = -0.064, P < 0.001). Stratified analysis revealed that the MHE prevalence in three groups of patients with Child-Pugh classes A, B, and C was 74.14%, 83.33%, and 88.24%, respectively, according to the normal value standards of Chinese researchers, while the MHE prevalence rates in three groups of patients with Child-Pugh classes A, B, and C were 8.29%, 23.53%, and 38.24%, respectively, according to the normal value standards of Korean researchers. Furthermore, the prevalence rates of MHE in the three groups of patients with Child-Pugh grades A, B, and C were 52.68%, 58.82%, and 73.53%, respectively, according to the Stroop test standard. However, among the results of each diagnostic standard, the prevalence of MHE showed an increasing trend with an increasing Child-Pugh grade. Further comparison demonstrated that the scores obtained by the number connection test A and the number symbol test were consistent according to the normal value standards of the two studies in China and South Korea ( Z = -0.982, -1.702; P = 0.326, 0.089), while the other three sub-tests had significant differences ( P < 0.001). Conclusion:The prevalence rate of MHE in the cirrhotic population is high, but the prevalence of MHE obtained by using different diagnostic criteria or methods varies greatly. Therefore, in line with the current changes in demographics and disease spectrum, it is necessary to enroll a larger sample size of a healthy population as a control. Moreover, the establishment of more reliable diagnostic scoring criteria will serve as a basis for obtaining accurate MHE incidence and formulating diagnosis and treatment strategies in cirrhotic populations.