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| 1 | Artificial intelligence in gastroenterology: A state-of-the-art review显示文摘The development of artificial intelligence(AI)has increased dramatically in the last 20 years,with clinical applications progressively being explored for most of the medical specialties.The field of gastroenterology and hepatology,substantially reliant on vast amounts of imaging studies,is not an exception.The clinical applications of AI systems in this field include the identification of premalignant or malignant lesions(e.g.,identification of dysplasia or esophageal adenocarcinoma in Barrett’s esophagus,pancreatic malignancies),detection of lesions(e.g.,polyp identification and classification,small-bowel bleeding lesion on capsule endoscopy,pancreatic cystic lesions),development of objective scoring systems for risk stratification,predicting disease prognosis or treatment response[e.g.,determining survival in patients post-resection of hepatocellular carcinoma),determining which patients with inflammatory bowel disease(IBD)will benefit from biologic therapy],or evaluation of metrics such as bowel preparation score or quality of endoscopic examination.The objective of this comprehensive review is to analyze the available AI-related studies pertaining to the entirety of the gastrointestinal tract,including the upper,middle and lower tracts;IBD;the hepatobiliary system;and the pancreas,discussing the findings and clinical applications,as well as outlining the current limitations and future directions in this field. | Paul T Kröner Megan ML Engels Benjamin S Glicksberg Kipp W Johnson Obaie Mzaik Jeanin E van Hooft Michael B Wallace Hashem B El-Serag Chayakrit Krittanawong | 2021 | World Journal of Gastroenterology2021，27，40： | 6 |
| 2 | Competition under manufacturer service and retail price显示文摘 | Jye-Chyi Lu Yu-Chung Tsao Chayakrit Charoensiriwath | 2011 | Economic Modelling2011，，3： | 2 |
| 3 | Blood lead level in Chinese adults with and without coronary artery disease显示文摘BACKGROUND The Trial to Assess Chelation Therapy study found that edetate disodium(disodium ethylenediaminetet-raacetic acid)chelation therapy significantly reduced the incidence of cardiac events in stable post-myocardial infarction patients,and a body of epidemiological data has shown that accumulation of biologically active metals,such as lead and cadmium,is an important risk factor for cardiovascular disease.However,limited studies have focused on the relationship between angiograph-ically diagnosed coronary artery disease(CAD)and lead exposure.This study compared blood lead level(BLL)in Chinese pa-tients with and without CAD.METHODS In this prospective,observational study,450 consecutive patients admitted to Beijing Anzhen Hospital with sus-pected CAD from November 1,2018,to January 30,2019,were enrolled.All patients underwent coronary angiography,and an experienced heart team calculated the SYNTAX scores(SXscore)for all available coronary angiograms.BLLs were determined with atomic absorption spectrophotometry and compared between patients with angiographically diagnosed CAD and those without CAD.RESULTS In total,343(76%)patients had CAD,of whom 42%had low(0−22),22%had intermediate(23−32),and 36%had high(≥33)SXscore.BLLs were 36.8±16.95μg/L in patients with CAD and 31.2±15.75μg/L in those without CAD(P=0.003).When BLLs were categorized into three groups(low,middle,high),CAD prevalence increased with increasing BLLs(P<0.05).In the multivariate regression model,BLLs were associated with CAD(odds ratio(OR):1.023,95%confidence interval(CI):1.008−1.039;P=0.0017).OR in the high versus low BLL group was 2.36(95%CI:1.29−4.42,P=0.003).Furthermore,BLLs were independently associated with intermediate and high SXscore(adjusted OR:1.050,95%CI:1.036-1.066;P<0.0001).CONCLUSION BLLs were significantly associated with angiographically diagnosed CAD.Furthermore,BLLs showed excel-lent predictive value for SXscore,especially for complex coronary artery lesions. | Shi-Hong LI Hong-Ju ZHANG Xiao-Dong LI Jian CUI Yu-Tong CHENG Qian WANG Su WANG Chayakrit Krittanawong Edward A El-Am Rody G.Bou Chaaya Xiang-Yu WU Wei GU Hong-Hong LIU Xian-Liang YAN Zhi-Zhong LI Shi-Wei YANG Tao SUN | 2021 | Journal of Geriatric Cardiology2021，18，11： | 0 |
| 4 | Mining twitter to understand the smoking cessation barriers显示文摘Smoking cessation is challenging and lack of positive support is a known major barrier to quitting cigarettes.Previous studies have suggested that social influences might increase smokers' awareness of social norms for appropriate behavior,which might lead to smoking cessation.Although social media use is increasing among young adults in the United States,research on the relationship between social media use and smoking cessation is lacking.Twitter has provided a rich source of information for researchers,but no overview exists as to how the field uses Twitter in smoking cessation research.To the best of our knowledge,this study conducted a data mining analysis of Twitter to assess barriers to smoking cessation.In conclusion,Twitter is a cost-effective tool with the potential to disseminate information on the benefits of smoking cessation and updated research to the Twitter community on a global scale. | Chayakrit Krittanawong Zhen Wang | 2017 | World Journal of Cardiology2017，9，10： | 0 |
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