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Comparison of the Diagnostic Performance of Artificial Intelligence-Based Models and Endoscopists for the Diagnosis of Colorectal Cancer Using Colonoscopy: A Systematic Review; [مقایسه عملکرد تشخیصی مدل های بر پایه هوش مصنوعی و متخصصین اندوسکوپی برای تشخیص سرطان کلورکتال با استفاده از کلونوسکوپی: یک مطالعه مرور نظام مند]



Sepanloo SG1 ; Pourshams A2 ; Momayezsanat Z2 ; Nakhjiri NE3 ; Navid P4
Authors
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Authors Affiliations
  1. 1. Digestive Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Family Medicine, School of Medicine, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Digestive Diseases Research Institute, Department of Gastroenterology and Hepatology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: Govaresh Published:2024

Abstract

Background: Colorectal cancer is known as one of the most common cancers with a high mortality rate. Early diagnosis of the disease helps to reduce mortality. Regarding the rapid development of artificial intelligence (AI) models for the diagnosis of different cancers, this study compares the diagnostic performance of AI models with the ability of experts or non-expert endoscopists to diagnose cancerous polyps. Materials and Methods: The present study was conducted as a systematic review in PubMed, Scopus, and Web of Science databases, as well as those studies that were designed according to the research question and referenced methods to compare the performance of endoscopists and AI models. Data extraction was done by two researchers, and the criteria for comparison were accuracy, sensitivity, specificity, and positive and negative predictive values. Results: Out of the total 838 articles obtained from the database search, 112 duplicates and 683 irrelevant records were excluded. Besides, 35 records were removed after content analysis, and finally, nine articles remained for data extraction. Based on the results, AI-based models can improve the diagnostic performance of less experienced experts. However, by considering quantitative performance indicators such as accuracy, sensitivity, and specificity, the performance of experienced endoscopists was significantly higher than AI models and the less experienced experts. Conclusion: AI-based models can be suitable for improving the diagnostic performance of endoscopists; however, the focus of using these models should be on helping less experienced ones. © 2024 Iranian Association of Gastroenterology and Hepatology. All rights reserved.
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1. Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prediction of Prognosis of Colorectal Cancer; [و پیش بینی پیش آگهی سرطان کولورکتال کاربرد هوش مصنوعی در غربالگری، تشخیص، درمان،], Govaresh (2024)
Experts (# of related papers)
Sadaf Ghajarieh Sepanlou (1)
Akram Pourshams (1)