《Artificial Intelligence in Gastrointestinal Endoscopy》

作品数：43被引量：9H指数：2
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《Artificial Intelligence in Gastrointestinal Endoscopy》
主办单位：百世登出版集团有限公司
最新期次：2025年1期更多>>
发文主题：ENDOSCOPYCOLONOSCOPYMACHINE_LEARNINGCOLORECTAL_CANCERAPPLICATION更多>>
发文领域：医药卫生自动化与计算机技术理学语言文字更多>>
发文基金：国家自然科学基金更多>>
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Artificial intelligence model on images of functional dyspepsia
《Artificial Intelligence in Gastrointestinal Endoscopy》2025年第1期1-11,共11页Hiroshi Mihara Sohachi Nanjo Iori Motoo Takayuki Ando Haruka Fujinami Ichiro Yasuda 
BACKGROUND Recently,it has been suggested that the duodenum may be the pathological locus of functional dyspepsia(FD).Additionally,an image-based artificial intelligence(AI)model was shown to discriminate colonoscopy ...
关键词：Artificial Intelligence Cloud-based DUODENUM Functional dyspepsia 
Delivering a high-quality colonoscopy service fit for the 21st century
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第3期1-8,共8页Brian Wing Kin Ip Daniel Jin Keat Lee Kok Yang Tan 
Colorectal cancer(CRC)is the third most prevalent cancer globally.There is a concerning increase in its incidence among younger individuals.Colonoscopy remains the gold standard for CRC diagnosis.With the introduction...
关键词：COLONOSCOPY Colorectal cancer Bowel screening POLYPS ADENOMA 
Impact of artificial intelligence in the management of esophageal,gastric and colorectal malignancies
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第2期1-14,共14页Ayrton Bangolo Nikita Wadhwani Vignesh K Nagesh Shraboni Dey Hadrian Hoang-Vu Tran Izage Kianifar Aguilar Auda Auda Aman Sidiqui Aiswarya Menon Deborah Daoud James Liu Sai Priyanka Pulipaka Blessy George Flor Furman Nareeman Khan Adewale Plumptre Imranjot Sekhon Abraham Lo Simcha Weissman 
The incidence of gastrointestinal malignancies has increased over the past decade at an alarming rate.Colorectal and gastric cancers are the third and fifth most commonly diagnosed cancers worldwide but are cited as t...
关键词：Artificial intelligence Gastrointestinal malignancies Machine learning Helicobacter pylori State-of-the-art deep learning models 
Ultra-minimally invasive endoscopic techniques and colorectal diseases:Current status and its future
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第2期15-30,共16页Nalini Kanta Ghosh Ashok Kumar 
Colorectal diseases are increasing due to altered lifestyle,genetic,and environmental factors.Colonoscopy plays an important role in diagnosis.Advances in colonoscope(ultrathin scope,magnetic scope,capsule)and technol...
关键词：Colorectal disorders Ultra-minimally invasive scopes Advanced gadgets Endoscopic intervention Combined endo-laparoscopic surgery 
Role of artificial intelligence in colorectal cancer
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第2期31-40,共10页Gita Lingam Taner Shakir Rawen Kader Manish Chand 
The sphere of artificial intelligence(AI)is ever expanding.Applications for clinical practice have been emerging over recent years.Although its uptake has been most prominent in endoscopy,this represents only one aspe...
关键词：Artificial intelligence Colorectal cancer PRE-OPERATIVE INTRA-OPERATIVE POST-OPERATIVE Adjuncts COLONOSCOPY 
Virtual reality tools for training in gastrointestinal endoscopy:A systematic review被引量：1
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第2期41-54,共14页Tuấn Quang Dương Jonathan Soldera 
BACKGROUND Virtual reality(VR)has emerged as an innovative technology in endoscopy training,providing a simulated environment that closely resembles real-life scenarios and offering trainees a valuable platform to acq...
关键词：Virtual reality Gastrointestinal endoscopy Systematic review Virtual reality training SIMULATION 
Artificial intelligence:Applications in critical care gastroenterology
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第1期1-10,共10页Deven Juneja 
Gastrointestinal(GI)complications frequently necessitate intensive care unit(ICU)admission.Additionally,critically ill patients also develop GI complications requiring further diagnostic and therapeutic interventions....
关键词：Artificial intelligence Critical care GASTROENTEROLOGY HEPATOLOGY Intensive care unit Machine learning 
Artificial intelligence for characterization of diminutive colorectal polyps:A feasibility study comparing two computer-aided diagnosis systems
《Artificial Intelligence in Gastrointestinal Endoscopy》2024年第1期11-22,共12页Quirine Eunice Wennie van der Zander Ramon M Schreuder Ayla Thijssen Carolus H J Kusters Nikoo Dehghani Thom Scheeve Bjorn Winkens Mirjam C M van der Ende-van Loon Peter H N de With Fons van der Sommen Ad A M Masclee Erik J Schoon 
Supported by Dutch Cancer Society,No.12639.
BACKGROUND Artificial intelligence(AI)has potential in the optical diagnosis of colorectal polyps.AIM To evaluate the feasibility of the real-time use of the computer-aided diagnosis system(CADx)AI for ColoRectal Poly...
关键词：Artificial intelligence Colorectal polyp characterization Computer aided diagnosis Diminutive colorectal polyps Optical diagnosis Self-critical artificial intelligence 
Role of endoscopic ultrasound in non-variceal upper gastrointestinal bleeding management
《Artificial Intelligence in Gastrointestinal Endoscopy》2023年第2期12-17,共6页Cosmas Rinaldi Adithya Lesmana 
Non-variceal upper gastrointestinal bleeding(NVUGIB)is one of the challenging situations in clinical practice.Despite that gastric ulcer and duodenal ulcer are still the main causes of acute NVUGIB,there are other cau...
关键词：Non-variceal upper gastrointestinal bleeding Endoscopic haemostasis Endoscopic ultrasound Bleeding vessel Doppler image 
Artificial intelligence fails to improve colonoscopy quality:A single centre retrospective cohort study
《Artificial Intelligence in Gastrointestinal Endoscopy》2023年第2期18-26,共9页Naeman Goetz Katherine Hanigan Richard Kai-Yuan Cheng 
BACKGROUND Limited data currently exists on the clinical utility of Artificial Intelligence Assisted Colonoscopy(AIAC)outside of clinical trials.AIM To evaluate the impact of AIAC on key markers of colonoscopy quality...
关键词：Artificial intelligence Colonoscopy quality Adenoma detection rate Sessile serrated lesion detection rate Withdrawal time 
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