Comparing Raman Spectroscopy-Based Artificial Intelligence to High-Definition White Light Endoscopy for Endoscopic Diagnosis of Gastric Neoplasia: A Feasibility Proof-of-Concept Study

Comparing Raman Spectroscopy-Based Artificial Intelligence to High-Definition White Light Endoscopy for Endoscopic Diagnosis of Gastric Neoplasia: A Feasibility Proof-of-Concept Study

Background: Endoscopic assessment for the diagnosis of gastric cancer is limited by interoperator variability and lack of real-time capability. Recently, Raman spectroscopy-based artificial intelligence (AI) has been proposed as a solution to overcome these limitations. Objective: To compare the per...

Full description

Saved in:
Bibliographic Details
Main Authors: Tse Kiat Soong, Guo Wei Kim, Daryl Kai Ann Chia, Jimmy Bok Yan So, Jonathan Wei Jie Lee, Asim Shabbbir, Jeffrey Huey Yew Lum, Gwyneth Shook Ting Soon, Khek Yu Ho
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
artificial intelligence
raman spectroscopy
endoscopy
gastric cancer
diagnosis
Online Access:https://www.mdpi.com/2075-4418/14/24/2839
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/14/24/2839

Similar Items