Necessity of image‐enhanced endoscopy for detecting colorectal lesions

Yoshida, Naohisa; Dohi, Osamu; Inoue, Ken

doi:10.1111/den.14311

Cited by 2 publications

(1 citation statement)

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“…Luo et al created a Gastrointestinal Artificial Intelligence Diagnostic System (GRAIDS), a system that may assist nonexpert endoscopists in diagnosing upper GI cancers at a level comparable to specialists [ 8 ]. Image-enhanced endoscopy (IEE) employs narrow-band spectrum or blue laser imaging to amplify the micro-vessel patterns and color disparities of the stomach mucosa and structural characteristics [ 9 ]. The diagnostic capability of magnifying-IEE (M-IEE) for GC has been proven, however, its expensive price and stringent restrictions restrict its widespread use [ 10 ].…”

Section: Reviewmentioning

confidence: 99%

Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive Overview

Nijjar,

Aulakh,

Singh

et al. 2024

Cureus

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Gastrointestinal neoplasms are a growing global health concern, requiring prompt identification and treatment. Endoscopic procedures have revolutionized the detection and treatment of gastrointestinal tumors by providing accurate, minimally invasive methods. Early-stage malignancies can be treated with endoscopic excision, leading to improved outcomes and increased survival rates. Precancerous lesions, like adenomatous polyps, can be prevented by removing them, reducing cancer occurrence and death rates. Advanced techniques like chromoendoscopy, narrow-band imaging, and confocal laser endomicroscopy improve the ability to see the mucosa surface and diagnose conditions. Artificial Intelligence (AI) applications in endoscopy can enhance diagnostic accuracy and predict histology outcomes. However, challenges remain in accurately defining lesions and ensuring precise diagnosis and treatment selection. Molecular imaging approaches and therapeutic modalities like photodynamic therapy and endoscopic ultrasonography-guided therapies hold potential but require further study and clinical confirmation. This study examines the future prospects and obstacles in endoscopic procedures for the timely identification and treatment of gastrointestinal cancers. The focus is on developing technology, limits, and prospective effects on clinical practice.

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Section: Reviewmentioning

confidence: 99%

Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive Overview

Nijjar,

Aulakh,

Singh

et al. 2024

Cureus

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Application of artificial intelligence in endoscopic gastrointestinal tumors

Xin,

Zhang,

Liu

et al. 2023

Front. Oncol.

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With an increasing number of patients with gastrointestinal cancer, effective and accurate early diagnostic clinical tools are required provide better health care for patients with gastrointestinal cancer. Recent studies have shown that artificial intelligence (AI) plays an important role in the diagnosis and treatment of patients with gastrointestinal tumors, which not only improves the efficiency of early tumor screening, but also significantly improves the survival rate of patients after treatment. With the aid of efficient learning and judgment abilities of AI, endoscopists can improve the accuracy of diagnosis and treatment through endoscopy and avoid incorrect descriptions or judgments of gastrointestinal lesions. The present article provides an overview of the application status of various artificial intelligence in gastric and colorectal cancers in recent years, and the direction of future research and clinical practice is clarified from a clinical perspective to provide a comprehensive theoretical basis for AI as a promising diagnostic and therapeutic tool for gastrointestinal cancer

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Necessity of image‐enhanced endoscopy for detecting colorectal lesions

Abstract: This Editorial refers to the article by W.‐Y. Chang and H.‐M. Chiu, p 284–296 of the issue DEN 34:2.

Cited by 2 publications

References 10 publications

Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive Overview

Emerging Technologies in Endoscopy for Gastrointestinal Neoplasms: A Comprehensive Overview

Application of artificial intelligence in endoscopic gastrointestinal tumors

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