A review of ChatGPT in medical education: exploring advantages and limitations [0.03%]
医疗教育中ChatGPT优缺点探索回顾
Yuan Cheng,Lingling Zhu
Yuan Cheng
The application of Chat Generative Pre-Trained Transformer (ChatGPT), a generative artificial intelligence program, has rapidly expanded in medical education since its introduction. While this technology offers new opportunities, it also pr...
Application and current challenges of neural stem cells transplantation in clinical trials of spinal cord injury [0.03%]
神经干细胞移植在脊髓损伤临床试验中的应用及挑战
Wen-Jun Zhang,Jun Zhang
Wen-Jun Zhang
Spinal cord injury (SCI) can lead to sensory, motor, and autonomic dysfunction, and even accompanied by persistent pathological pain, seriously affecting the psychosomatic health of patients. At present, there are no effective treatment met...
Prostate cancer stem cell dynamics in the evolution of drug resistance [0.03%]
前列腺癌症干细胞在药物抗性进化中的动态变化
Xiaoyu Zhang,Xiaoqing Zhang,Xinpei Deng et al.
Xiaoyu Zhang et al.
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men worldwide, with tumor heterogeneity, therapy resistance, and lineage plasticity posing significant clinical challenges. Androgen deprivation therapy (ADT), whi...
Ischemia-free liver transplantation alleviates post-transplant myocardial injury and pulmonary complication: a post hoc analysis from IFLT-DBD trial [0.03%]
无缺血肝移植减轻移植后的心肌损伤和肺部并发症：IFLT-DBD试验的事后分析结果
Yuekun Shen,Yuqi Dong,Bing Yang et al.
Yuekun Shen et al.
Background: Ischemia-free liver transplantation (IFLT) prevents ischemia-reperfusion injury (IRI) and reduces IRI-related complications. In this study, we explored the protective effects of IFLT on myocardial injury after...
Dynamic CtDNA monitoring in adjuvant therapy and recurrence for colorectal liver metastases: a prospective study [0.03%]
术前和术后动态监测CTDNA以检测结直肠癌肝转移复发：一项前瞻性研究
Da Xu,Quan Bao,Hong-Wei Wang et al.
Da Xu et al.
Introduction: Effective prediction methods for monitoring the risk of recurrence of colorectal cancer liver metastasis (CRLM) and guiding postoperative adjuvant treatment (ACT) are currently lacking. This study aimed to e...
Letter to the Editors: "Efficacy and safety of robotic surgery versus open surgery for hilar cholangiocarcinoma: a systematic review and meta-analysis" [0.03%]
致编辑部信：系统综述和荟萃分析机器人与开腹手术治疗肝门胆管癌有效性和安全性的比较
Hani Oweira,Christoph Reissfelder,Wahid Fattal et al.
Hani Oweira et al.
Association of Cross-life-cycle Body Size and Genetic Risk With Cardio-renal-metabolic Conditions in Adulthood evidence from a prospective cohort study [0.03%]
生命周期中体重与遗传风险对成人 cardio-renal-metabolic 条件的影响关系——前瞻性队列研究证据
Chengdong Yu,Shuyuan Zhang,Huijing He et al.
Chengdong Yu et al.
Background: The aim of this study was to investigate the longitudinal associations between the body size trajectory and the cardio-renal-metabolic (CRM) conditions in adulthood, and evaluate the joint association between ...
Fractal analysis based on Gd-EOB-DTPA-enhanced MRI for prediction of vessels that encapsulate tumor clusters in patients with hepatocellular carcinoma [0.03%]
基于Gd-EOB-DTPA增强MRI的分形分析在预测肝细胞癌患者肿瘤簇包膜血管中的应用
Feng Che,Feifei Gao,Qian Li et al.
Feng Che et al.
Objective: The aim of this study was to assess the potential role of fractal analysis derived from Gd-EOB-DTPA-enhanced MRI in predicting vessels that encapsulate tumor clusters (VETC) in patients with hepatocellular carc...
Efficacy and safety of minor salivary gland transplantation for the treatment of severe dry eye disease: a single-arm meta-analysis [0.03%]
小唾液腺移植治疗重度干眼疗效和安全性的单组元荟萃分析
Ying-Hui Wang,Si-Yuan Li,Jun Feng et al.
Ying-Hui Wang et al.
Background: Previous studies have demonstrated that minor salivary gland transplantation (MSGT) is an effective treatment for severe dry eye disease (DED). However, almost all studies on this procedure have been non-rando...
Predicting NSCLC surgical outcomes using deep learning on histopathological images: development and multi-omics validation of Sr-PPS model [0.03%]
基于组织病理学图像的深度学习预测NSCLC手术结局：Sr-PPS模型的建立与多组学验证
Shengkun Peng,Kegang Jia,Mei Peng et al.
Shengkun Peng et al.
Background: Currently, there remains a critical need for reliable tools to accurately predict post-surgical outcomes in non-small cell lung cancer (NSCLC) patients in clinical practice. We aimed to develop and validate a ...