首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   75872篇
  免费   6505篇
  国内免费   2465篇
耳鼻咽喉   829篇
儿科学   1476篇
妇产科学   861篇
基础医学   15068篇
口腔科学   1425篇
临床医学   4741篇
内科学   11719篇
皮肤病学   1793篇
神经病学   5214篇
特种医学   1195篇
外国民族医学   18篇
外科学   6339篇
综合类   8853篇
现状与发展   11篇
预防医学   3071篇
眼科学   906篇
药学   12034篇
  3篇
中国医学   3149篇
肿瘤学   6137篇
  2024年   122篇
  2023年   1346篇
  2022年   1777篇
  2021年   3269篇
  2020年   2564篇
  2019年   3135篇
  2018年   3189篇
  2017年   2997篇
  2016年   2553篇
  2015年   3083篇
  2014年   4281篇
  2013年   5052篇
  2012年   4531篇
  2011年   5284篇
  2010年   4093篇
  2009年   4072篇
  2008年   3736篇
  2007年   3457篇
  2006年   3107篇
  2005年   2663篇
  2004年   2511篇
  2003年   2075篇
  2002年   1571篇
  2001年   1234篇
  2000年   1246篇
  1999年   966篇
  1998年   942篇
  1997年   918篇
  1996年   733篇
  1995年   756篇
  1994年   657篇
  1993年   553篇
  1992年   448篇
  1991年   423篇
  1990年   361篇
  1989年   307篇
  1988年   251篇
  1987年   240篇
  1986年   238篇
  1985年   545篇
  1984年   657篇
  1983年   419篇
  1982年   480篇
  1981年   390篇
  1980年   344篇
  1979年   295篇
  1978年   240篇
  1977年   184篇
  1976年   195篇
  1975年   131篇
排序方式: 共有10000条查询结果,搜索用时 78 毫秒
21.
22.
23.
《Brain stimulation》2022,15(2):337-351
BackgroundAbnormalities in frontoparietal network (FPN) were observed in many neuropsychiatric diseases including substance use disorders. A growing number of studies are using dual-site-tACS with frontoparietal synchronization to engage this network. However, a computational pathway to inform and optimize parameter space for frontoparietal synchronization is still lacking. In this case study, in a group of participants with methamphetamine use disorders, we proposed a computational pathway to extract optimal electrode montage while accounting for stimulation intensity using structural and functional MRI.MethodsSixty methamphetamine users completed an fMRI drug cue-reactivity task. Four main steps were taken to define electrode montage and adjust stimulation intensity using 4x1 high-definition (HD) electrodes for a dual-site-tACS; (1) Frontal seed was defined based on the maximum electric fields (EF) predicted by simulation of HD montage over DLPFC (F3/F4 in EEG 10–10), (2) frontal seed-to-whole brain context-dependent correlation was calculated to determine connected regions to frontal seeds, (3) center of connected cluster in parietal cortex was selected as a location for placing the second set of HD electrodes to shape the informed montage, (4) individualized head models were used to determine optimal stimulation intensity considering underlying brain structure. The informed montage was compared to montages with large electrodes and classic frontoparietal HD montages (F3-P3/F4-P4) in terms of tACS-induced EF and ROI-to-ROI task-based/resting-state connectivity.ResultsCompared to the large electrodes, HD frontoparietal montages allow for a finer control of the spatial peak fields in the main nodes of the FPN at the cost of lower maximum EF (large-pad/HD: max EF[V/m] = 0.37/0.11, number of cortical sub-regions that EF exceeds 50% of the max = 77/13). For defining stimulation targets based on EF patterns, using group-level head models compared to a single standard head model results in comparable but significantly different seed locations (6.43 mm Euclidean distance between the locations of the frontal maximum EF in standard-space). As expected, significant task-based/resting-state connections were only found between frontal-parietal locations in the informed montage. Cue-induced craving score was correlated with frontoparietal connectivity only in the informed montage (r = ?0.24). Stimulation intensity in the informed montage, and not in the classic HD montage, needs 40% reduction in the parietal site to reduce the disparity in EF between stimulation sites.ConclusionThis study provides some empirical insights to montage and dose selection in dual-site-tACS using individual brain structures and functions and proposes a computational pathway to use head models and functional MRI to define (1) optimum electrode montage for targeting FPN in a context of interest (drug-cue-reactivity) and (2) proper transcranial stimulation intensity.  相似文献   
24.
25.
26.
PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.  相似文献   
27.
目的探讨阻塞性睡眠呼吸暂停低通气综合征(OSAHS)CYP3A4基因的多态性,了解其对芬太尼类药物的敏感性及不同基因型的人群分布特征,指导临床个体化用药。方法对50例OSAHS患者进行CYP3A4基因的多态性检测,采静脉血,通过DNA抽提-PCR扩增-焦磷酸测序方法检测CYP3A4基因。结果野生纯合型型34例(68%),突变杂合型15例(30%),突变纯合型型1例(2%)。结论OSAHS患者中约2%为AA型,该型对芬太尼类药物极其敏感,术后有易发生窒息的风险,应高度警惕芬太尼类药物呼吸抑制的潜在风险。  相似文献   
28.
目的探讨单纯 Ilizarov 环形外固定技术治疗合并骨筋膜室综合征的胫骨平台骨折的疗效。方法2013 年 9 月—2017 年 3 月,收治 30 例合并骨筋膜室综合征的胫骨平台骨折患者,采用单纯 Ilizarov 环形外固定技术治疗。男 23 例,女 7 例;年龄 23~43 岁,平均 34.4 岁。致伤原因:交通事故伤 12 例,高处坠落伤 4 例,摔伤 8 例,重物砸伤 6 例。受伤至入院时间 1~12 h,平均 4.8 h。骨折 Schatzker 分型:Ⅱ型 1 例、Ⅲ型 3 例、Ⅳ型 10 例、Ⅴ型 7 例、Ⅵ型 9 例。30 例均因骨筋膜室综合征行切开减压;切开减压至手术时间为 10~15 d,平均 12.5 d。治疗后采用膝关节学会评分系统(KSS)及 Ilizarov 方法研究与应用协会(ASAMI)协议评价膝关节功能。结果手术时间 110~155 min,平均 123.1 min;术中出血量 100~500 mL,平均 245 mL;术后住院时间 3~5 d,平均 3.8 d。患者均获随访,随访时间 20~24 周,平均 22.7 周。除 2 例患者出现针道感染征象外,无其他并发症发生。X 线片复查显示骨折均愈合,愈合时间 10~20 周,平均 14.6 周。末次随访时,膝关节 KSS 临床评分总分为 70~95 分,平均 87.5 分;功能评分总分为 70~90 分,平均 79.0 分。参照 ASAMI 协议评价获优 24 例、良 3 例、可 2 例、差 1 例。结论对于合并骨筋膜室综合征的胫骨平台骨折,单纯 Ilizarov 环形外固定技术治疗后患者关节功能可以基本恢复且并发症少,是一项相对安全、有效的治疗方法。  相似文献   
29.
30.
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号