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| 1 | Aerobic vs anaerobic exercise training effects on the cardiovascular system显示文摘Physical exercise is one of the most effective methods to help prevent cardiovascular(CV) disease and to promote CV health. Aerobic and anaerobic exercises are two types of exercise that differ based on the intensity, interval and types of muscle fibers incorporated. In this article, we aim to further elaborate on these two categories of physical exercise and to help decipher which provides the most effective means of promoting CV health. | Harsh Patel Hassan Alkhawam Raef Madanieh Niel Shah Constantine E Kosmas Timothy J Vittorio | 2017 | World Journal of Cardiology2017，9，2： | 2 |
| 2 | T p-e /QT ratio as an index of arrhythmogenesis显示文摘 | Prasad Gupta Chinmay Patel Harsh Patel Srinivasa Narayanaswamy Binu Malhotra Jared T. Green Gan-Xin Yan | 2008 | Journal of Electrocardiology2008，，6： | 1 |
| 3 | Human blood plasma-based electronic integrated circuit amplifier configuration显示文摘Dear Editor:There is accumulating evidence that human blood electronic circuit components and their application circuits become more and more important to cyborg implant/engineering,man-machine interface,human disease detection and healing,and artificial brain evolution[1-5].Here,we report the first development of human plasma-based amplifier circuit in the discrete as well as integrated circuit(IC)configuration mode.Electrolytes in the human blood contain an enormous number of charge carriers such as positive and negative molecule/atom ions,which are electri- | Shiv Prasad Kosta Manthan Manavadaria Killol Pandya Yogesh.Prasad Kosta Shakti Kosta Harsh Mehta Jaimin Patel | 2013 | The Journal of Biomedical Research2013，27，6： | 1 |
| 4 | T p-e /QT ratio as an index of arrhythmogenesis显示文摘 | Prasad Gupta Chinmay Patel Harsh Patel Srinivasa Narayanaswamy Binu Malhotra Jared T. Green Gan-Xin Yan | 2008 | Journal of Electrocardiology2008，，6： | 1 |
| 5 | Artificial intelligence technologies for the detection of colorectal lesions: The future is now显示文摘Several studies have shown a significant adenoma miss rate up to 35%during screening colonoscopy,especially in patients with diminutive adenomas.The use of artificial intelligence(AI)in colonoscopy has been gaining popularity by helping endoscopists in polyp detection,with the aim to increase their adenoma detection rate(ADR)and polyp detection rate(PDR)in order to reduce the incidence of interval cancers.The efficacy of deep convolutional neural network(DCNN)-based AI system for polyp detection has been trained and tested in ex vivo settings such as colonoscopy still images or videos.Recent trials have evaluated the real-time efficacy of DCNN-based systems showing promising results in term of improved ADR and PDR.In this review we reported data from the preliminary ex vivo experiences and summarized the results of the initial randomized controlled trials. | Simona Attardo Viveksandeep Thoguluva Chandrasekar Marco Spadaccini Roberta Maselli Harsh K Patel Madhav Desai Antonio Capogreco Matteo Badalamenti Piera Alessia Galtieri Gaia Pellegatta Alessandro Fugazza Silvia Carrara Andrea Anderloni Pietro Occhipinti Cesare Hassan Prateek Sharma Alessandro Repici | 2020 | World Journal of Gastroenterology2020，26，37： | 1 |
| 6 | Advanced imaging and artificial intelligence for Barrett's esophagus:What we should and soon will do显示文摘Barrett’s esophagus(BE)is a well-established risk factor for esophageal adenocarcinoma.It is recommended that patients have regular endoscopic surveillance,with the ultimate goal of detecting early-stage neoplastic lesions before they can progress to invasive carcinoma.Detection of both dysplasia or early adenocarcinoma permits curative endoscopic treatments,and with this aim,thorough endoscopic assessment is crucial and improves outcomes.The burden of missed neoplasia in BE is still far from being negligible,likely due to inappropriate endoscopic surveillance.Over the last two decades,advanced imaging techniques,moving from traditional dye-spray chromoendoscopy to more practical virtual chromoendoscopy technologies,have been introduced with the aim to enhance neoplasia detection in BE.As witnessed in other fields,artificial intelligence(AI)has revolutionized the field of diagnostic endoscopy and is set to cover a pivotal role in BE as well.The aim of this commentary is to comprehensively summarize present evidence,recent research advances,and future perspectives regarding advanced imaging technology and AI in BE;the combination of computer-aided diagnosis to a widespread adoption of advanced imaging technologies is eagerly awaited.It will also provide a useful step-by-step approach for performing high-quality endoscopy in BE,in order to increase the diagnostic yield of endoscopy in clinical practice. | Marco Spadaccini Edoardo Vespa Viveksandeep Thoguluva Chandrasekar Madhav Desai Harsh K Patel Roberta Maselli Alessandro Fugazza Silvia Carrara Andrea Anderloni Gianluca Franchellucci Alessandro De Marco Cesare Hassan Pradeep Bhandari Prateek Sharma Alessandro Repici | 2022 | World Journal of Gastroenterology2022，28，11： | 1 |
| 7 | 探索互联汽车之重新定义互联汽车中的高速数据显示文摘在汽车行业-以及驾驶体验方面,我们正处于一场巨大的变革之中。汽车的连接性能变得前所未有的重要。技术的进步正在使车辆上几乎每一方面都在发生变化-当物体距离过近时,传感器对我们发出提醒,可以实现自动制动来避免碰撞,甚至可以在转弯时使车大灯转动,同时,信息娱乐系统可以为驾驶者提供流媒体形式的新闻及其他广播内容,让乘客观看影片,而GPS则在交通中引导我们,使我们更迅速、更安全的抵达目的地。 | Ali Javed Harsh Patel | 2019 | 中国电子商情2019，，10： | 0 |
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