El-Nakeep S, El-Nakeep M. Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations. Artif Intell Gastroenterol 2021; 2(5): 124-132 [DOI: 10.35712/aig.v2.i5.124]
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November 10, 2021, 13:30
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Reader Comments:
Artificial intelligence for cancer detection in upper gastrointestinal endoscopy, current status, and future aspirations
In Sarah et al study, they discusses the benefits and pitfalls of machine learning, and artificial intelligence in upper gastrointestinal endoscopy for the detection and characterization of neoplasms. in addition, they also discussed the phases of machine learning and the importance of advanced imaging techniques in upper gastrointestinal endoscopy and its association with artificial intelligence.With the promising development of life sciences and cellular biology in recent years, the underlying pathophysiology and molecular mechanisms of cancer in vivo have been effectively revealed. However, the response efficiency of in vivo cancer drug therapy is still limited. Although the applications of AI integration with upper GI endoscopy could benefit trainees and general practitioners based on these theoretical researches, the establishment of a dataset library accessible to the researchers with upper GI lesions apparent irrespective of the geographical area was difficult. It still needs further detailed investigations to confirm the beneficial effect of artificial intelligence on cancer detection in upper gastrointestinal endoscopy.
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First, thank you very much for your professional comments on the article published in Artificial Intelligence in Gastroenterology.
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Reader's ID:
05755618
Submitted on:
November 03, 2021, 14:55
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Reader Comment Standards for Published Articles:
1 Title
Does the title reflect the main subject/hypothesis of the manuscript?
2 Abstract
Does the abstract summarize and reflect the work described in the manuscript?
3 Key Words
Do the key words reflect the focus of the manuscript?
4 Background
Does the manuscript adequately describe the background, present status and significance of the study?
5 Methods
Does the manuscript describe methods (e.g., experiments, data analysis, surveys, and clinical trials, etc.) in adequate detail?
6 Results
Are the research objectives achieved by the experiments used in this study?
Has the study made meaningful contributions towards research progress in this field?
7 Discussion
Does the manuscript interpret the findings adequately and appropriately, highlighting the key points concisely, clearly and logically?
Are the findings and their applicability/relevance to the literature stated in a clear and definite manner?
Is the Discussion accurate and does it discuss the paper’s scientific significance and/or relevance to clinical practice sufficiently?
8 Illustrations and Tables
Are the figures, diagrams and tables sufficient, good quality and appropriately illustrative of the paper contents?
Do figures require labeling with arrows, asterisks, etc., or better legends?
9 Biostatistics
Does the manuscript meet the requirements of biostatistics?
10 Units
Does the manuscript meet the requirements of use of SI units?
11 References
Does the manuscript appropriately cite the latest, important and authoritative references in the Introduction and Discussion sections?
Does the author self-cite, omit, incorrectly cite and/or over-cite references?
12 Quality of manuscript organization and presentation
Is the manuscript concisely and coherently organized and presented?
Are the style, language and grammar accurate and appropriate?
13 Ethics statements
For all manuscripts involving human studies and/or animal experiments, author(s) must submit the related formal ethics documents that were reviewed and approved by their local ethical review committee. Did the manuscript meet the requirements of ethics?
Scientific Quality:
The overall quality of the manuscript, based on the above-listed criteria, should be evaluated and classified according to the following five categories
Language Quality:
Language quality (style, grammar, and spelling) should be evaluated and classified according to the following five categories.
Reader Comments:
It is an interesting study. Detecting early gastric cancer after eradicating Hp is an essential matter. In this point of view, AI could be a helpful tool. However, there are some concerns to overcome to use in a real-world setting(i.e., black box).
Reply from the Editorial Office:
First, thank you very much for your professional comments on the article published in Artificial Intelligence in Gastroenterology.
Second, we read your comments with great interest. You are welcome to format your valuable comments into a Letter to the Editor and submit it online to Artificial Intelligence in Gastroenterology at https://www.f6publishing.com. There are no restrictions on the number of words, figures (color, B/W) or authors for a Letter to the Editor. In addition, the article processing charge will be exempted for this Letter to the Editor. As with all articles published by the Baishideng Publishing Group, the Letter to the Editor will be published online after completing peer review. The guidelines for a Letter to the Editor can be found at: https://www.wjgnet.com/bpg/GerInfo/219.
Finally, we look forward to receiving your high-quality Letter to the Editor, which will promote academic communication and lead the development of this discipline.