Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

The saphenous vein graft (SVG) remains the most commonly used conduit in coronary artery bypass grafting (CABG), yet its limited long-term patency adversely affects patient outcomes. SVG failure is a multistage pathological process, characterized by early thrombosis, intermediate intimal hyperplasia, and late atherosclerotic degeneration. These changes are driven by endothelial dysfunction induced by ischemia-reperfusion and mechanical injury, smooth muscle cell phenotypic modulation, inflammatory activation, and conventional cardiovascular risk factors. Preventive strategies for SVG failure have increasingly focused on both surgical and pharmacological optimization. Surgical approaches include appropriate target vessel and anastomotic site selection, refinement of SVG harvesting techniques (notably the no-touch technique and endoscopic vein harvesting), optimization of graft configurations, and routine intraoperative graft flow assessment. Postoperative secondary prevention is essential, as antithrombotic and lipid-lowering therapies have been shown to reduce SVG occlusion. In addition, emerging therapies, including gene-based interventions, antiproliferative agents, novel graft preservation solutions, and external vein graft supports, show promise in improving SVG durability. Integrated multimodal strategies may further reduce SVG failure and improve long-term outcomes after CABG. This article provides a review of researches related to SVG failure, including the mechanisms of failure, intraoperative preventive measures, pharmacological prevention, and recent advances in treatment, aiming to offer insights for clinical diagnosis, treatment and future studies.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

The Consolidated Standards of Reporting Trials (CONSORT) statement aims to enhance the quality of reporting for randomized controlled trial (RCT) by providing a minimum item checklist. It was first published in 1996, and updated in 2001 and 2010, respectively. The latest version was released in April 2025, continuously reflecting new evidence, methodological advancements, and user feedback. CONSORT 2025 includes 30 essential checklist items and a template for a participant flow diagram. The main changes to the checklist include the addition of 7 items, revision of 3 items, and deletion of 1 item, as well as the integration of multiple key extensions. This article provides a comprehensive interpretation of the statement, aiming to help clinical trial staff, journal editors, and reviewers fully understand the essence of CONSORT 2025, correctly apply it in writing RCT reports and evaluating RCT quality, and provide guidance for conducting high-level RCT research in China.

Objective To explore the feasibility and safety of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules during thoracoscopic wedge resection. Methods Patients who underwent CT-guided percutaneous lung puncture injection of localization agents to locate lung nodules at the First Affiliated Hospital of Fujian Medical University from November 2023 to January 2024 were selected. Under thoracoscopy, lung nodules were located by white light mode, fluorescence mode, or near-infrared mode and wedge resection was performed. The feasibility of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules was preliminarily verified by evaluating whether the localization agent concentrated around the nodules, and the safety of this method was verified by analyzing the incidence of adverse reactions during patient puncture and surgery. Results A total of 30 patients with lung nodules were included, including 10 males and 20 females, with an average age of (55.5±11.2) years. In 26 patients, the amount of localization agent used was moderate, the localization agent concentrated around the nodules, and successful precise localization of small lung nodules was achieved. In 4 patients, due to excessive use of localization agent, the marker was diffuse with pleural staining. The overall localization success rate was 86.7%, and when the injection volume of localization agent was 0.2-0.5 mL, the localization success rate was 100.0%. All patients successfully completed thoracoscopic wedge resection and found nodule lesions, with negative margins and a distance from the margin to the lesion that met the requirements. There were no complications. Conclusion Thoracoscopic surgery using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules is safe and feasible.

In recent years, with the continuous development and increasing maturity of interventional techniques, interventional treatment for congenital heart disease (CHD) has been progressively disseminated to county- and city-level hospitals in China. Concurrently, the standardized management of adult CHD (particularly patent foramen ovale) and the lifelong management of complex CHD are gaining increasing clinical attention, while the emergence of new techniques and products continuously advances the discipline. This article aims to review the new progress made in the field of interventional treatment for congenital heart disease in China during 2024. It specifically reviews and analyzes the following key aspects: (1) annual statistics on interventional closure procedures for CHD; (2) recent insights into patent foramen ovale closure; (3) advances in transcatheter pulmonary valve replacement; (4) interventional treatment and lifelong management strategies for complex CHD; (5) new interventional techniques for acquired heart disease; and (6) the application of artificial intelligence in CHD management. Through the synthesis and discussion of these topics, this article seeks to provide a detailed analysis of the current landscape of interventional treatment for CHD in China and project its future development trends.

Objective To analyze the independent risk factors affecting complications of preoperative CT-guided Hookwire localization of pulmonary nodules, and establish and validate a nomogram risk prediction model. Methods Clinical data of patients who underwent thoracoscopic lung surgery with preoperative CT-guided Hookwire localization at the Department of Thoracic Surgery, Affiliated Nanjing Brain Hospital, Nanjing Medical University from January 2023 to October 2023 were collected. Patients were divided into a complication group and a non-complication group according to whether they had complications. The clinical data of the two groups were compared by univariate analysis and multivariate binary logistic regression analysis to determine the independent risk factors causing complications during localization, and a nomogram prediction model was established. The discrimination of the model was evaluated by receiver operating characteristic (ROC) curve, and the consistency between predicted events and actual results was evaluated by calibration curve. Results A total of 300 patients were included, including 143 males and 157 females, aged 24-68 (46.00±22.81) years. Univariate analysis showed that there were statistically significant differences in age, number and location of nodules, preoperative anxiety score, history of chronic obstructive pulmonary disease (COPD), number of needle adjustments, pain score, and distance between the tip of the localization needle and the visceral pleura between the two groups (P<0.05). Multivariate binary logistic regression analysis suggested that pain score [OR=1.253, 95%CI (1.094, 1.434), P=0.001], age [OR=1.020, 95%CI (1.000, 1.042), P=0.049], history of COPD [OR=3.281, 95%CI (1.751, 6.146), P<0.001], number of nodules [OR=1.667, 95%CI (1.221, 2.274), P=0.001], preoperative anxiety score [OR=1.061, 95%CI (1.031, 1.092), P<0.001], number of needle adjustments [OR=1.832, 95%CI (1.263, 2.658), P=0.001], and distance between the needle tip and the visceral pleura [OR=1.759, 95%CI (1.373, 2.254), P<0.001] were associated with localization complications. The area under the ROC curve for the modeling group was 0.825, and that for the validation group was 0.845. Hosmer-Lemeshow test showed that there was no statistically significant difference between the ideal curve of the model fitting curve and that of the modeling group and internal validation group, indicating good goodness of fit (χ2=6.488, P=0.593). Conclusion Advanced age, multiple nodules, preoperative anxiety, history of COPD, multiple needle adjustments, severe pain during localization, and long distance between the tip of the localization needle and the visceral pleura are independent risk factors for complications of lung nodule localization, and the prediction model based on these factors has good predictive performance.

Objective To investigate the prognosis and satisfaction of the R2 intervention procedure and develop related predictive models. Methods The clinical data of 64 patients with primary craniofacial hyperhidrosis who underwent R2 intervention surgery at the First Affiliated Hospital of Fujian Medical University from November 2018 to October 2022 were retrospectively analyzed. By statistically analyzing the risk factors for compensatory hyperhidrosis (CH) and satisfaction, and conducting feature screening, a relevant prediction model was established. Results Finally, 51 patients were collected, including 43 (84.3%) males and 8 (15.7%) females, with an average age of (30.27±7.22) years. Overall postoperative satisfaction was high, with only 5.9% of patients expressing regret about the surgery. However, 92.2% of patients experienced CH. The onset of postoperative CH was most prominent within the first 3 months postoperatively, with the incidence rate stabilizing thereafter. Preoperative heart rate and R2 sympathetic nerve clipping were identified as independent risk factors for severe CH. The preoperative body mass index, the degree of sweating in the chest and abdomen, are significantly correlated with postoperative satisfaction. Conclusion The R2 intervention surgery effectively alleviates the symptoms of primary craniofacial hyperhidrosis, and patient satisfaction is high.

The sternoclavicular joint is located at the cervicothoracic junction, where various types of lesions such as trauma, infection, inflammation and tumor can occur. In complex chest wall reconstruction, the sternoclavicular joint is often involved. Whether and how to reconstruct the sternoclavicular joint is a difficult problem for surgeons. At present, there is no unified standard for sternoclavicular joint resection and reconstruction. There are many materials and methods for sternoclavicular joint reconstruction. With the development of surgical techniques and treatment concepts, we have a new understanding of the anatomy, function, and surgical treatment of the sternoclavicular joint. This article provides an overview of these developments.