4.6 Article

Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Gastroenterology & Hepatology

Artificial intelligence for non-polypoid colorectal neoplasms

Cesare Hassan et al.

Summary: Despite quality improvement programs and training, the miss rate of flat advanced colorectal neoplasia remains unacceptably high. There is still uncertainty about whether artificial intelligence can reduce the miss rate of flat neoplasia, as studies have limited flat colorectal lesions in their training sets.

DIGESTIVE ENDOSCOPY (2021)

Review Gastroenterology & Hepatology

Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis

Ishita Barua et al.

Summary: Through analysis of five randomized trials, it was found that the introduction of AI systems in colonoscopy can increase the detection rates of polyps and adenomas, but has no significant effect on the detection rate of advanced adenomas.

ENDOSCOPY (2021)

Article Gastroenterology & Hepatology

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial

Alessandro Repici et al.

GASTROENTEROLOGY (2020)

Article Multidisciplinary Sciences

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Hanna Borgli et al.

SCIENTIFIC DATA (2020)

Article Gastroenterology & Hepatology

Barriers and pitfalls for artificial intelligence in gastroenterology: Ethical and regulatory issues

Omer F. Ahmad et al.

TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY (2020)

Article Gastroenterology & Hepatology

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy

Wen-Na Liu et al.

SAUDI JOURNAL OF GASTROENTEROLOGY (2020)

Review Gastroenterology & Hepatology

Quality assurance of computer-aided detection and diagnosis in colonoscopy

Daniela Guerrero Vinsard et al.

GASTROINTESTINAL ENDOSCOPY (2019)

Review Gastroenterology & Hepatology

Artificial intelligence and colonoscopy: Current status and future perspectives

Shin-ei Kudo et al.

DIGESTIVE ENDOSCOPY (2019)

Article Gastroenterology & Hepatology

Computer-aided prediction of polyp histology on white light colonoscopy using surface pattern analysis

Cristina Sanchez-Montes et al.

ENDOSCOPY (2019)

Article Biochemistry & Molecular Biology

The practical implementation of artificial intelligence technologies in medicine

Jianxing He et al.

NATURE MEDICINE (2019)

Article Computer Science, Artificial Intelligence

An integrated iterative annotation technique for easing neural network training in medical image analysis

Brendon Lutnick et al.

NATURE MACHINE INTELLIGENCE (2019)

Article Medicine, General & Internal

Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy A Prospective Study

Yuichi Mori et al.

ANNALS OF INTERNAL MEDICINE (2018)

Editorial Material Gastroenterology & Hepatology

The FUSE enigma: Wide-angle or wide-minded?

Cesare Hassan et al.

GASTROINTESTINAL ENDOSCOPY (2018)

Editorial Material Gastroenterology & Hepatology

Computer-aided diagnosis for colonoscopy

Yuichi Mori et al.

ENDOSCOPY (2017)

Article Computer Science, Interdisciplinary Applications

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

Jorge Bernal et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)

Article Surgery

A research agenda for the European Association for Endoscopic Surgeons (EAES)

Nader Francis et al.

SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2017)

Article Gastroenterology & Hepatology

Developing a Research Agenda for The American Society of Colon and Rectal Surgeons: Results of a Delphi Approach

Caroline G. Burt et al.

DISEASES OF THE COLON & RECTUM (2009)