电热蒸汽发生器的研制及应用

指出使用锅炉高压蒸汽灭菌器的缺点，重点介绍了利用电热蒸汽法进行消毒的研制过程及实际应用价值。     

医学成像技术的进展

医学成像技术在最近几年中有了飞速的发展，新的成像方法不断涌现，已有的成像方式不断完善。从平面到立体、从局部到整体、从静态到动态、从形态到功能已成为医学成像技术发展的趋势。文中简要介绍分子成像、近红外热成像等新的成像方式。     

经皮穴位电刺激对粘连期肩关节周围炎的治疗作用

目的观察经皮穴位电刺激对粘连期肩周炎的治疗作用及与电针治疗的效应异同。方法采用规范化、标准化的诊断和疗效评价标准,明确和固定各治疗参数,以肩部疼痛和肩关节活动为观察指标,194例粘连期肩关节周围炎患者分别进行经皮穴位电刺激和电针治疗。结果经皮穴位电刺激对粘连期肩周炎的总有效率达到96·9%,电针刺激对粘连期肩周炎的总有效率达到97·9%,2组比较无明显差异;经皮穴位电刺激疗法不仅能有效止痛,对粘连期的肩关节活动障碍也有明显的改善作用。结论经皮穴位电刺激为治疗肩周炎有效、简便的疗法。     

猪肾中砷的氢化物发生原子荧光测定法

目的研究氢化物发生—原子荧光法测定猪肾中砷的适宜条件。方法试验酸介质和还原剂用量对测定砷的影响;选择仪器的最佳工作条件及氢化物发生条件;试验样品中常见元素对砷测定的干扰情况及消除方法。结果在测定条件下,砷的线性范围为0~200μg/L,相关系数达0.999 3以上;检出限为0.14μg/L,回收率在95.5%~101.0%之间,相对标准差(n=7)小于2.7%。结论该试验选用5.0%HCl为介质;样品测定原子化观察高度8 mm;5%硫脲 5%抗坏血酸混合溶液掩弊干扰效果最好。在该工作条件下测定猪肾中的砷,方法灵敏度高,准确度、精密度好。     

公立医院产权制度改制程序研究

在我国大部分地区,公立医疗机构产权改革是在当地政府领导下,仿照国有企业的产权改革程序进行.但是,在公立医疗机构的托管制改革中,还没有专门的程序可以遵循.地方卫生行政部门通常掌管着医疗机构委托管理的改革过程.     

针刺治疗在加速康复外科中的应用进展

加速康复外科(ERAS)以循证医学证据为基础,优化治疗措施,符合人体在围手术期的应激代谢改变,可降低机体应激反应,达到加速康复的目的.围手术期针刺治疗能缓解患者术前焦虑,缩短术前禁食时间,减少麻醉药物用量,保护器官功能,减轻术后疼痛,减少术后恶心呕吐,加快术后康复.针刺的加入能为ERAS理念的建设提供新方法、新思路.但...     

基于人工智能的高血压性脑出血医疗文本信息自动识别系统

目的 构建基于人工智能的高血压性脑出血医疗文本信息自动识别系统,快速识别和分析患者临床信息,高效地输出正确的诊疗方案。方法 基于国内外最新高血压性脑出血诊疗指南,经多位高年资神经外科医生和专业人工智能团队共同讨论,构建基于语言表征模型和专家模块的高血压性脑出血医疗文本信息自动识别及决策系统（即H系统）。随后将收集到的高血压性脑出血病例分为训练集、测试集和验证集,以数据库中病例的真实治疗方案为金标准,先总体评价H系统的准确性,再将其与神经外科医生进行对比,分析H系统的判读效率。结果 在测试集中,H系统所输出的治疗方案的准确率为94.0%（91.5%~96.5%）,特异度为91.8%（86.3%~97.3%）,灵敏度为95.5%（89.3%~98.2%）,曲线下面积（area under the curve,AUC）值为0.936（0.922~0.950）（P=0.000）;在验证集中,H系统所输出的治疗方案的准确率为93.3%（89.5%~97.1%）,特异度为 89.9%（83.4%~96.4%）,灵敏度为95.8%（92.3%~99.3%）,AUC值为0.928（0.891~0.966）（P=0.000）。在处理同样的70例病例时,H系统用时（334.60±4.46）s,而神经外科医生用时（12 550.28±95.45）s;在50 min内,H系统处理的病例数为（383±3）例,而神经外科医生处理的病例数为（11±4）例。结论 本研究所构建的H系统能够对高血压性脑出血患者的急诊病例进行自动识别和分析,并快速输出准确的诊疗方案,可协助医生对高血压脑出血进行急诊诊疗。     

Diabetic retinopathy identification based on multi-source-free domain adaptation

AIM: To address the challenges of data labeling difficulties, data privacy, and necessary large amount of labeled data for deep learning methods in diabetic retinopathy (DR) identification, the aim of this study is to develop a source-free domain adaptation (SFDA) method for efficient and effective DR identification from unlabeled data. METHODS: A multi-SFDA method was proposed for DR identification. This method integrates multiple source models, which are trained from the same source domain, to generate synthetic pseudo labels for the unlabeled target domain. Besides, a softmax-consistence minimization term is utilized to minimize the intra-class distances between the source and target domains and maximize the inter-class distances. Validation is performed using three color fundus photograph datasets (APTOS2019, DDR, and EyePACS). RESULTS: The proposed model was evaluated and provided promising results with respectively 0.8917 and 0.9795 F1-scores on referable and normal/abnormal DR identification tasks. It demonstrated effective DR identification through minimizing intra-class distances and maximizing inter-class distances between source and target domains. CONCLUSION: The multi-SFDA method provides an effective approach to overcome the challenges in DR identification. The method not only addresses difficulties in data labeling and privacy issues, but also reduces the need for large amounts of labeled data required by deep learning methods, making it a practical tool for early detection and preservation of vision in diabetic patients.     

In Vitro and In Vivo Effects of Nonsteroidal Anti-inflammatory Drugs and Aspirin on Rabbit Esophageal Epithelium

BackgroundGastroesophageal reflux disease has a high incidence of 23%, with 29% of those with gastroesophageal reflux disease consuming nonsteroidal anti-inflammatory drugs. There are insufficient data concerning the effects of nonsteroidal anti-inflammatory drugs on the esophageal tissue. We aimed to examine the effects of well-known nonsteroidal anti-inflammatory drugs using electrophysiologic criteria on the rabbit esophageal epithelium.MethodsEsophageal epithelium mounted on Ussing chambers enabled in vitro investigation of the electrophysiological properties. Doses of 1 mg/mL, 2.5 mg/mL, 5 mg/mL ibuprofen, naproxen, and aspirin were dissolved in dimethyl sulfoxide and added to the luminal side. Esophagi were cannulated from both sides for the administration of high-dose ibuprofen in vivo, and the potential difference was monitored.ResultsIbuprofen and aspirin inhibited tissue transport functions in a dose-dependent manner. pH 4 acid and 0.1 mg/mL ibuprofen alone were not harmful; however, the combination of these agents had an additive and significance effect: 78% decrease in the potential difference and 85% decrease in the short-circuited current (Isc). The change in the potential difference in the in vivo experiments (5 mg/mL ibuprofen) was similar (52 ± 7% decrease) with in vitro experiments in the first 30 minutes.ConclusionNonsteroidal anti-inflammatory drugs were harmful to the rabbit esophageal epithelium in both the in vitro and in vivo experiments. Even though aspirin and ibuprofen affected the transport mechanisms of the esophageal epithelium, the dose-dependent decrease of tissue potential difference and Isc with ibuprofen was more pronounced than those with aspirin. The combination of harmless doses of ibuprofen and acid demonstrated that even low acidic conditions can create a disruptive environment.