Article
Gastroenterology & Hepatology
Joel Troya, Boban Sudarevic, Adrian Krenzer, Michael Banck, Markus Brand, Benjamin M. Walter, Frank Puppe, Wolfram G. Zoller, Alexander Meining, Alexander Hann
Summary: This study compares the performance of different CADe systems, updates, and configuration modes, providing help for clinicians to select the most appropriate system for their specific needs.
Article
Gastroenterology & Hepatology
Nikhil R. Thiruvengadam, Gregory A. Cote, Shashank Gupta, Medora Rodrigues, Yecheskel Schneider, Mustafa A. Arain, Pejman Solaimani, Steve Serrao, Michael L. Kochman, Monica Saumoy
Summary: This study aimed to evaluate the cost-effectiveness requirements of computer-aided detection (CAD) in colorectal cancer (CRC) screening/surveillance and its impact on adenoma detection by endoscopists with different ADRs. The findings showed that CAD significantly improved ADR and reduced CRC incidence and mortality. Therefore, in clinical implementation, CAD needs to improve ADR to at least 30% or have a cost of less than $579 per colonoscopy to be cost-effective.
Article
Gastroenterology & Hepatology
Jeremy R. Glissen Brown, Nabil M. Mansour, Pu Wang, Maria Aguilera Chuchuca, Scott B. Minchenberg, Madhuri Chandnani, Lin Liu, Seth A. Gross, Neil Sengupta, Tyler M. Berzin
Summary: In a U.S. multicenter tandem colonoscopy randomized controlled trial, the use of a CADe-system was shown to decrease AMR and SSL miss rate while increasing first-pass APC compared to HDWL colonoscopy alone.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Review
Gastroenterology & Hepatology
Sagar Shah, Nathan Park, Nabil El Hage Chehade, Anastasia Chahine, Marc Monachese, Amelie Tiritilli, Zain Moosvi, Ronald Ortizo, Jason Samarasena
Summary: This study demonstrates that computer-aided colonoscopy (CAC) can effectively reduce the miss rates of adenomas and sessile serrated lesions, increase the adenoma detection rate, and improve the detection of adenomas larger than 10 mm.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Joel Troya, Daniel Fitting, Markus Brand, Boban Sudarevic, Jakob Nikolas Kather, Alexander Meining, Alexander Hann
Summary: This study found that CADe systems are faster than humans in detecting polyps, but using CADe does not improve human reaction times. Moreover, CADe increased misinterpretation of normal mucosa and decreased the eye travel distance.
Article
Gastroenterology & Hepatology
Daisuke Yamaguchi, Ryo Shimoda, Koichi Miyahara, Takahiro Yukimoto, Yasuhisa Sakata, Ayako Takamori, Yumi Mizuta, Yutaro Fujimura, Suma Inoue, Michito Tomonaga, Yuya Ogino, Kohei Eguchi, Kei Ikeda, Yuichiro Tanaka, Hironobu Takedomi, Hidenori Hidaka, Takashi Akutagawa, Nanae Tsuruoka, Takahiro Noda, Seiji Tsunada, Motohiro Esaki
Summary: This study aimed to evaluate the effectiveness of CAD EYE in improving colonoscopy quality in gastroenterology trainees. The results showed that CAD EYE did not improve ADR but decreased the AMR and improved the ability to accurately locate and identify colorectal adenomas.
DIGESTIVE ENDOSCOPY
(2023)
Article
Gastroenterology & Hepatology
Ping Shen, Wei Zhi Li, Jia Xin Li, Zheng Cun Pei, Yu Xuan Luo, Jin Bao Mu, Wen Li, Xi Mo Wang
Summary: The study found that the real-time CADe system significantly increased the PDR and PPC under conditions of high polyp detection rate, indicating that CADe-assisted colonoscopy can enhance polyp detection rate.
JOURNAL OF DIGESTIVE DISEASES
(2021)
Article
Health Care Sciences & Services
Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T. Wu, Ann G. Zauber, Wai Keung Leung
Summary: The widespread adoption of computer-aided detection (CADe) in detecting colorectal polyps would result in shorter surveillance intervals for patients, particularly according to the US Multi-Society Task Force on Colorectal Cancer (USMSTF) guideline. Based on simulation, CADe application would lead to approximately 19.1% and 1.9% of patients requiring shorter surveillance intervals, as recommended by the USMSTF and European Society of Gastrointestinal Endoscopy (ESGE) guidelines, respectively. Specifically, all or 2.7% of patients initially scheduled for 3-5 years of surveillance would have their intervals shortened to 3 years, according to the USMSTF guideline.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Review
Medicine, General & Internal
Lei Shao, Xinzong Yan, Chengjiang Liu, Can Guo, Baojia Cai
Summary: Artificial intelligence-assisted colonoscopy (AIAC) can effectively reduce the missed detection rate and improve the detection rate of adenoma, especially for small adenomas. However, more in-depth studies are needed to improve the clinical application of AIAC.
Review
Gastroenterology & Hepatology
Marco Spadaccini, Andrea Iannone, Roberta Maselli, Matteo Badalamenti, Madhav Desai, Viveksandeep Thoguluva Chandrasekar, Harsh K. Patel, Alessandro Fugazza, Gaia Pellegatta, Piera Alessia Galtieri, Gianluca Lollo, Silvia Carrara, Andrea Anderloni, Douglas K. Rex, Victor Savevski, Michael B. Wallace, Pradeep Bhandari, Thomas Roesch, Ian M. Gralnek, Prateek Sharma, Cesare Hassan, Alessandro Repici
Summary: Based on systematic review and network meta-analysis, it was found that CADe has a higher detection rate for colorectal neoplasia compared to other techniques (such as chromoendoscopy or tools that increase mucosal visualization), supporting greater incorporation of CADe strategies into community endoscopy services.
LANCET GASTROENTEROLOGY & HEPATOLOGY
(2021)
Article
Gastroenterology & Hepatology
Zhe Guo, Daiki Nemoto, Xin Zhu, Qin Li, Masato Aizawa, Kenichi Utano, Noriyuki Isohata, Shungo Endo, Alan Kawarai Lefor, Kazutomo Togashi
Summary: This study aimed to validate a computer-aided detection algorithm for small polyps during colonoscopy, showing sensitivity almost equivalent to experts and superior to physicians in training. The algorithm has potential for use in clinical trials.
DIGESTIVE ENDOSCOPY
(2021)
Review
Medicine, General & Internal
Shenghan Lou, Fenqi Du, Wenjie Song, Yixiu Xia, Xinyu Yue, Da Yang, Binbin Cui, Yanlong Liu, Peng Han
Summary: AI-aided colonoscopy significantly enhances the detection of colorectal neoplasia by reducing the miss rate. However, future studies should focus on evaluating the cost-effectiveness and long-term benefits of AI-aided colonoscopy in reducing cancer incidence.
Article
Gastroenterology & Hepatology
Shengbing Zhao, Xia Yang, Shuling Wang, Qianqian Meng, Rundong Wang, Lumin Bo, Xin Chang, Peng Pan, Tian Xia, Fan Yang, Jun Yao, Jinghua Zheng, Jianqiu Sheng, Xiaojun Zhao, Shan Tang, Yali Wang, Yiping Wang, Aixia Gong, Weigang Chen, Jianwei Shen, Xian Zhu, Shaofeng Wang, Caiwen Yan, Youlin Yang, Yangbei Zhu, Rui-Jun Ma, Rong Wang, Yingcai Ma, Zhaoshen Li, Yu Bai
Summary: Prolonging withdrawal time from 6 to 9 minutes significantly improves adenoma detection rate (ADR), especially in the proximal colon and for less experienced colonoscopists.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Gastroenterology & Hepatology
Shunsuke Kamba, Naoto Tamai, Iduru Saitoh, Hiroaki Matsui, Hideka Horiuchi, Masakuni Kobayashi, Taku Sakamoto, Mai Ego, Akihiro Fukuda, Aya Tonouchi, Yuki Shimahara, Masako Nishikawa, Haruo Nishino, Yutaka Saito, Kazuki Sumiyama
Summary: In a multicenter randomized controlled trial, it was found that the adenoma miss rate could be significantly reduced with CADe assistance based on deep learning, leading to a higher adenoma detection rate compared to standard colonoscopy.
JOURNAL OF GASTROENTEROLOGY
(2021)
Article
Surgery
Shrey Modi, Omar Picado, Caroline Fiser, Maya Lubarsky, Bhuwan Giri, Vanessa Hui, Luanne Force, Floriano Marchetti, Laurence R. Sands, Nivedh Paluvoi
Summary: There were no differences in quality outcomes of adenoma and polyp detection rates between morning and afternoon colonoscopies performed by colorectal surgeons. In addition to known predictors, cecal intubation time and history of polypectomy were also independent predictors of adenoma detection rate. Patients with prior polypectomy had increased colonoscopy times in the afternoon shift.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2022)
Article
Gastroenterology & Hepatology
Pu Wang, Tyler M. Berzin, Jeremy Romek Glissen Brown, Shishira Bharadwaj, Aymeric Becq, Xun Xiao, Peixi Liu, Liangping Li, Yan Song, Di Zhang, Yi Li, Guangre Xu, Mengtian Tu, Xiaogang Liu
Article
Medicine, General & Internal
Han Wang, Pu Wang, Xiaogang Liu, Liangping Li, Xun Xiao, Peixi Liu, Di Zhang, Yi Li, Guangre Xu, Mengtian Tu, Yan Song
Article
Gastroenterology & Hepatology
Pu Wang, Xiaogang Liu, Tyler M. Berzin, Jeremy R. Glissen Brown, Peixi Liu, Chao Zhou, Lei Lei, Liangping Li, Zhenzhen Guo, Shan Lei, Fei Xiong, Han Wang, Yan Song, Yan Pan, Guanyu Zhou
LANCET GASTROENTEROLOGY & HEPATOLOGY
(2020)
Article
Multidisciplinary Sciences
Guanyu Zhou, Xun Xiao, Mengtian Tu, Peixi Liu, Dan Yang, Xiaogang Liu, Renyi Zhang, Liangping Li, Shan Lei, Han Wang, Yan Song, Pu Wang
Editorial Material
Gastroenterology & Hepatology
Guanyu Zhou, Fei Xiong, Xudan Yang, Pu Wang
GASTROENTEROLOGIA Y HEPATOLOGIA
(2021)
Article
Gastroenterology & Hepatology
Pu Wang, Peixi Liu, Jeremy R. Glissen Brown, Tyler M. Berzin, Guanyu Zhou, Shan Lei, Xiaogang Liu, Liangping Li, Xun Xiao
Letter
Gastroenterology & Hepatology
Pu Wang, Tyler M. Berzin, Jeremy R. Glissen Brown
Article
Gastroenterology & Hepatology
Jeremy R. Glissen Brown, Nabil M. Mansour, Pu Wang, Maria Aguilera Chuchuca, Scott B. Minchenberg, Madhuri Chandnani, Lin Liu, Seth A. Gross, Neil Sengupta, Tyler M. Berzin
Summary: In a U.S. multicenter tandem colonoscopy randomized controlled trial, the use of a CADe-system was shown to decrease AMR and SSL miss rate while increasing first-pass APC compared to HDWL colonoscopy alone.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Gastroenterology & Hepatology
Yuichi Mori, Pu Wang, Magnus Loberg, Masashi Misawa, Alessandro Repici, Marco Spadaccini, Loredana Correale, Giulio Antonelli, Honggang Yu, Dexin Gong, Misaki Ishiyama, Shin-ei Kudo, Shunsuke Kamba, Kazuki Sumiyama, Yutaka Saito, Haruo Nishino, Peixi Liu, Jeremy R. Glissen Brown, Nabil M. Mansour, Seth A. Gross, Mette Kalager, Michael Bretthauer, Douglas K. Rex, Prateek Sharma, Tyler M. Berzin, Cesare Hassan
Summary: The use of AI during colonoscopy increases the proportion of patients needing intensive surveillance by approximately 35% in the United States and 20% in Europe. This contributes to improved cancer prevention but adds significant patient burden and healthcare costs.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Pu Wang, Xiao-Gang Liu, Min Kang, Xue Peng, Mei-Ling Shu, Guan-Yu Zhou, Pei-Xi Liu, Fei Xiong, Ming-Ming Deng, Hong-Fen Xia, Jian-Jun Li, Xiao-Qi Long, Yan Song, Liang-Ping Li
Summary: In colonoscopy screening for colorectal cancer, human vision limitations may lead to higher miss rate of lesions. Artificial intelligence (AI) assistance has been demonstrated to improve polyp detection. This study aimed to compare the effectiveness of AI and human observer during colonoscopy.
GASTROENTEROLOGY REPORT
(2023)
Article
Gastroenterology & Hepatology
Wei-hui Liu, Xin-yu Huang, Xiao Hu, Pu Wang, Yun-chao Yang, Pei-xi Liu, Xiao-gang Liu
Meeting Abstract
Gastroenterology & Hepatology
Yuichi Mori, Pu Wang, Magnus Loberg, Masashi Misawa, Alessandro Repici, Marco Spadaccini, Loredana Correale, Giulio Antonelli, Honggang Yu, Dexin Gong, Misaki Ishiyama, Shinei Kudo, Shunsuke Kamba, Kazuki Sumiyama, Yutaka Saito, Haruo Nishino, Peixi Liu, Jeremy R. Glissen Brown, Nabil M. Mansour, Seth Gross, Mette Kalager, Michael Bretthauer, Douglas K. Rex, Prateek Sharma, Tyler M. Berzin, Cesare Hassan
GASTROINTESTINAL ENDOSCOPY
(2022)
Article
Gastroenterology & Hepatology
Omer F. Ahmad, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, John T. Anderson, Jorge Bernal, Tyler M. Berzin, Raf Bisschops, Michael F. Byrne, Peng-Jen Chen, James E. East, Tom Eelbode, Daniel S. Elson, Suryakanth R. Gurudu, Aymeric Histace, William E. Karnes, Alessandro Repici, Rajvinder Singh, Pietro Valdastri, Michael B. Wallace, Pu Wang, Danail Stoyanov, Laurence B. Lovat
Summary: This study identified key implementation research priorities for artificial intelligence in colonoscopy through an international expert panel, focusing on clinical trial design/end points, technological developments, clinical adoption/integration, data access/annotation, and regulatory approval. These findings provide a framework for future research to accelerate the clinical implementation of AI in endoscopy.
Article
Gastroenterology & Hepatology
Peixi Liu, Pu Wang, Jeremy R. Glissen Brown, Tyler M. Berzin, Guanyu Zhou, Weihui Liu, Xun Xiao, Ziyang Chen, Zhihong Zhang, Chao Zhou, Lei Lei, Fei Xiong, Liangping Li, Xiaogang Liu
THERAPEUTIC ADVANCES IN GASTROENTEROLOGY
(2020)